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CRASH INTELLIGENCE REPORT · CONNECTICUT, CT · NOVEMBER 2018
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/november-2018-report
Monthly Traffic Safety Analysis
10,736 CRASHES IN
CONNECTICUT, CT
NOVEMBER 2018
In November 2018, Connecticut recorded 10,736 traffic crashes, resulting in 28 fatalities and 3,308 injuries. Analysis of collision types reveals that front-to-rear collisions were the most common, accounting for 3,988 incidents, or 37.1% of all crashes. These events were most frequent during the weekday evening commute, with the 5 p.m. hour seeing the highest volume of crashes.
10,736
Total Crash Events
28
Persons Killed
3,308
Persons Injured
10.7%
Hit-and-Run Rate
Note: "Persons Killed" (28) counts individual fatalities across all crash events. "Fatal" in the severity table below (27) counts crash events where at least one fatality occurred. A single crash can result in multiple fatalities.
Source: Connecticut Crash Data · Csv Open Data · 2018-11-01 to 2018-11-30 · Aggregate counts from crash, person, and vehicle records
1,153
Hit-and-Run Crashes — November 2018
Based on the initial determination of responding officers, 1,153 crashes in this period were classified as hit-and-run incidents. This represents 10.7% of all total crashes for the month. These figures reflect events where a driver involved left the scene of the collision.
Vulnerable Road User Casualties
During this period, 28 individuals were killed and 3,308 were injured in traffic crashes. Pedestrians represented a significant portion of fatalities, with 8 killed and 132 injured. While no cyclists were killed, 23 were injured. Motorists accounted for 20 fatalities and 3,152 injuries.
8
Pedestrians Killed
0
Cyclists Killed
20
Motorists Killed
0
Other Killed
132
Pedestrians Injured
23
Cyclists Injured
3,152
Motorists Injured
1
Other Injured
Source: Connecticut Crash Data · Csv Open Data · 2018-11-01 to 2018-11-30 · Mode classified from person records (driver/passenger → motorist; pedestrian; bicyclist → cyclist; in-line skater / unspecified → other)
When Crashes Happen
Crash occurrences peaked on Thursday with 2,181 incidents, and the single busiest hour for crashes was the 5 p.m. hour, which saw 1,410 collisions, indicating a strong correlation with evening commute times. Crashes were slightly more frequent during daylight hours (5,551 crashes) compared to all hours with limited or no light combined (4,971 crashes).
Source: Connecticut Crash Data · Csv Open Data · 2018-11-01 to 2018-11-30 · Crash date field aggregated by weekday
Source: Connecticut Crash Data · Csv Open Data · 2018-11-01 to 2018-11-30 · Crash time field aggregated by hour (0-23)
Crash Severity Breakdown
The majority of crashes, 77.5% (8,323 incidents), resulted in no injuries. Injury-involved crashes, including serious, minor, and possible injuries, accounted for 22.3% of the total. There were 27 fatal crashes during this period, which resulted in a total of 28 fatalities, as a single crash can involve more than one death.
Severity is per crash event (most severe injury). 27 fatal crash events resulted in 28 persons killed.
Outcome by Severity (Crash Events)
Source: Connecticut Crash Data · Csv Open Data · 2018-11-01 to 2018-11-30 · KABCO injury classification scale
Severity Distribution (Crash Events)
Source: Connecticut Crash Data · Csv Open Data · 2018-11-01 to 2018-11-30 · Most severe injury per crash record
Road & Environmental Conditions
A majority of crashes occurred in favorable conditions, with 64.7% (6,948 crashes) happening in clear weather and 63.6% (6,830 crashes) on dry road surfaces. Crashes during daylight hours accounted for 51.7% (5,551) of all incidents. Adverse weather conditions were also a factor, with rain present in 1,965 crashes and snow in 745 crashes.
Weather
Source: Connecticut Crash Data · Csv Open Data · 2018-11-01 to 2018-11-30 · Weather condition at time of crash
Lighting
Source: Connecticut Crash Data · Csv Open Data · 2018-11-01 to 2018-11-30 · Lighting condition field
Road Surface
Source: Connecticut Crash Data · Csv Open Data · 2018-11-01 to 2018-11-30 · Road surface condition field
Vehicles & Demographics
Analysis of persons involved in crashes shows the 26-34 age group was the most represented, with 4,619 individuals. Among the 20,347 vehicles involved, the most frequent makes were Honda (2,095 vehicles), Ford (1,959 vehicles), and Toyota (1,909 vehicles). These were followed by Nissan with 1,663 vehicles and Chevrolet with 1,149 vehicles.
Top Vehicle Makes (20,347 vehicles)
Source: Connecticut Crash Data · Csv Open Data · 2018-11-01 to 2018-11-30 · Vehicle unit records
1,611 persons with unknown or unrecorded age excluded from age chart.
Sex Distribution (24,750 persons with recorded sex)
Source: Connecticut Crash Data · Csv Open Data · 2018-11-01 to 2018-11-30 · Person-level records linked to crash events
Speed Limit Zones
The speed limit zone with the highest number of crashes was 25 mph, accounting for 3,018 incidents or 28.1% of the total. Analysis of fatal crash rates within each speed zone shows a general trend of increasing severity with higher speeds. For instance, while 0.17% of crashes in 25 mph zones were fatal, this rate rose to 0.52% in 55 mph zones and 0.76% in 65 mph zones.
Fatal crashes by zone: 25 mph: 5 of 3,018 (0.166%) · 30 mph: 2 of 992 (0.202%) · 35 mph: 3 of 1,364 (0.22%) · 40 mph: 3 of 752 (0.399%) · 45 mph: 2 of 430 (0.465%) · 50 mph: 3 of 297 (1.01%) · 55 mph: 5 of 960 (0.521%) · 65 mph: 4 of 527 (0.759%)
Source: Connecticut Crash Data · Csv Open Data · 2018-11-01 to 2018-11-30 · Posted speed limit at crash location
Top Counties
The geographic distribution of crashes was concentrated in three counties, which together accounted for over 82% of all incidents statewide. Fairfield County recorded the highest number of crashes with 3,132 (29.2%), followed by New Haven County with 2,978 (27.7%) and Hartford County with 2,777 (25.9%).
Top Counties
Source: Connecticut Crash Data · Csv Open Data · 2018-11-01 to 2018-11-30 · Crash-level records
Top Towns
Crash incidents were most concentrated in Connecticut's largest urban centers. New Haven experienced the most crashes with 636, representing 5.9% of the statewide total. This was followed by Hartford with 593 crashes (5.5%), Waterbury with 572 crashes (5.3%), and Bridgeport with 569 crashes (5.3%).
Top Towns
Showing top 9 of 50 reported. 41 additional (4,568 total) not shown: New Britain, Stratford, West Hartford, Hamden, Manchester, Bristol, Greenwich, West Haven, East Hartford, Wallingford, Middletown, North Haven, Windsor, Milford, Trumbull, Norwich, Southington, Orange, Wethersfield, Shelton, Farmington, New London, Westport, Groton, Berlin, Newington, Newtown, Cheshire, Branford, Rocky Hill, Bloomfield, Vernon, Enfield, Torrington, East Haven, New Milford, Plainville, Glastonbury, Darien, Avon, Naugatuck.
Source: Connecticut Crash Data · Csv Open Data · 2018-11-01 to 2018-11-30 · Crash-level records
Road Class
Crashes occurred most frequently on Minor Arterial roads, which saw 3,060 incidents, followed by Principal Arterials with 2,372 crashes. Combined, limited-access highways like Interstates (1,433) and Freeways/Expressways (818) accounted for 2,251 crashes. This represents 22.1% of collisions where road class was specified.
Road Class
Source: Connecticut Crash Data · Csv Open Data · 2018-11-01 to 2018-11-30 · Crash-level records
Route System
Analysis of roadway jurisdiction shows that a majority of crashes occurred on routes maintained by the state. State, Interstate, and US Routes collectively accounted for 6,080 crashes, representing 59.2% of incidents with a specified route system. Crashes on local roads accounted for the remaining 4,190 incidents (40.8%).
Route System
Source: Connecticut Crash Data · Csv Open Data · 2018-11-01 to 2018-11-30 · Crash-level records
Public vs Private Road
Of the crashes where roadway ownership was documented, the vast majority occurred on public roads (10,150 incidents). Crashes on private property, such as in parking lots or on private drives, accounted for 402 incidents. This represents 3.8% of crashes in this subset.
Rural vs Urban
The data indicates a significant disparity in crash locations between urban and rural settings. Urban areas accounted for 9,709 crashes, while rural areas saw 467 crashes. This means that 4.6% of crashes with a defined location type occurred in rural areas.
Rural vs Urban
Source: Connecticut Crash Data · Csv Open Data · 2018-11-01 to 2018-11-30 · Crash-level records
Junction Type
The majority of crashes, 7,151 incidents, occurred at locations not classified as intersections. Of the crashes that did happen at junctions, four-way intersections were the most common site with 1,764 incidents, followed by T-intersections with 1,569. In total, 33.3% of crashes occurred at an intersection of some type.
Junction Type
Source: Connecticut Crash Data · Csv Open Data · 2018-11-01 to 2018-11-30 · Crash-level records
Run-off-Road / Fixed-Object Strikes
Among crashes involving a vehicle striking a fixed object, the most frequently hit objects were guardrail faces (267 incidents), walls or buildings (242), and utility poles (188). Collisions with utility poles and trees combined accounted for 326 incidents, representing 22.6% of all documented fixed-object crashes.
Run-off-Road / Fixed-Object Strikes
Showing top 9 of 21 reported. 12 additional (258 total) not shown: Mailbox, Cable Barrier, Fence, Ditch, Guardrail End, Other Traffic Barrier, Bridge Overhead Structure, Struck by Falling, Shifting Cargo or Anything Set in Motion by Motor Vehicle, Bridge Rail, Traffic Signal Support, Impact Attenuator/Crash Cushion, Culvert.
Source: Connecticut Crash Data · Csv Open Data · 2018-11-01 to 2018-11-30 · Crash-level records
Vehicle Type
Passenger cars were the most common vehicle type involved in crashes, accounting for 11,921 vehicles, followed by Sport Utility Vehicles with 4,556. Medium and heavy trucks were involved in 485 crashes. Additionally, 205 buses (including school and transit types) and 33 motorcycles were recorded in collisions during this period.
Vehicle Type
Showing top 9 of 18 reported. 9 additional (156 total) not shown: Transit Bus, Motorcycle, Other Bus, Moped, Low Speed Vehicle, Motor Coach, Golf Cart, Motor Home, All Terrain Vehicle (ATV).
Source: Connecticut Crash Data · Csv Open Data · 2018-11-01 to 2018-11-30 · Vehicle unit records
Traffic Control Device
The most common situation recorded was the absence of a traffic control device, noted in 13,369 instances related to vehicles in crashes. Crashes at locations with traffic signals were associated with 4,981 vehicle instances, while those at stop signs accounted for 1,538. A smaller number of incidents were reported at locations with flashing signals (206) and yield signs (99).
Traffic Control Device
"Other" combines 5 smaller categories (59 records): Warning Sign (22), Marked Uncontrolled Crosswalk (13), Pedestrian Button (10), School Zone Sign/Device (8), Railway Crossing Device (6).
Source: Connecticut Crash Data · Csv Open Data · 2018-11-01 to 2018-11-30 · Vehicle unit records
Vulnerable Road Users & Motorcycles
Crashes in this period involved 202 vulnerable road users and motorcyclists. Pedestrians were the most frequent group, involved in 145 crashes, followed by motorcyclists in 33 and bicyclists in 24. Combined, pedestrians and bicyclists accounted for 169 incidents, or 83.7% of crashes in this specific category.
Driver Contributing Action
Among drivers for whom a contributing action was cited, following too closely was the most common factor, attributed to 3,111 drivers (16.0%). The next most frequent actions were failing to keep in the proper lane, cited for 1,891 drivers (9.7%), and failing to yield the right-of-way for 1,136 drivers (5.8%).
Driver Contributing Action
Showing top 9 of 19 reported. 10 additional (1,091 total) not shown: Ran Stop Sign, Improper Passing, 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, Disregarded Other Traffic Sign, Wrong Side or Wrong Way, Disregarded Other Road Markings, Overtaking Cyclist.
Source: Connecticut Crash Data · Csv Open Data · 2018-11-01 to 2018-11-30 · Person-level records linked to crash events
Driver Condition
While the vast majority of drivers were listed as 'Apparently Normal,' several adverse conditions were recorded. Driving under the influence of medications, drugs, or alcohol was noted for 240 drivers. An additional 118 drivers were reported as asleep or fatigued, and 90 were identified as being in an emotional state.
Driver Condition
Source: Connecticut Crash Data · Csv Open Data · 2018-11-01 to 2018-11-30 · Person-level records linked to crash events
Pre-Crash Driver Action
The most common pre-crash action for vehicles was traveling straight ahead, which was the case for 9,356 vehicles (46.0%). A significant number of vehicles were either stopped in traffic (2,335 vehicles) or in the process of slowing (1,590 vehicles) just prior to the collision. Turning left was the fourth most common maneuver, recorded for 1,489 vehicles.
Pre-Crash Driver Action
Showing top 9 of 16 reported. 7 additional (1,203 total) not shown: Entering Traffic Lane, Overtaking/Passing, Other, Leaving Traffic Lane, Making U-Turn, Wrong way (or Wrong Side), Traveling in Bike Lane.
Source: Connecticut Crash Data · Csv Open Data · 2018-11-01 to 2018-11-30 · Vehicle unit records
Point of Impact
Analysis of the initial point of impact shows that frontal collisions were the most frequent, with 5,878 vehicles being struck in the front. Rear impacts were the second most common, involving 4,059 vehicles. These two impact points account for 48.8% of all vehicle impacts recorded.
Point of Impact
"Other" combines 9 smaller categories (2,881 records): Sector 5 (South by SouthEast) in the 12-point Clock Diagram (686), Sector 9 (West) in the 12-point Clock Diagram (540), Sector 8 (SouthWest) in the 12-point Clock Diagram (504), Sector 4 (SouthEast) in the 12-point Clock Diagram (456), Sector 3 (East) in the 12-point Clock Diagram (450), Non-Collision (103), Top (101), Undercarriage (32), Cargo loss (9).
Source: Connecticut Crash Data · Csv Open Data · 2018-11-01 to 2018-11-30 · Vehicle unit records
Pedestrian/Cyclist Action
For the 157 pedestrians whose actions were documented, 58 were determined to have taken no improper action. Among improper actions cited, 'In Roadway Improperly' was the most frequent with 17 instances, followed by 'Not Visible' (15) and 'Dart/Dash' (14). Failure to yield right-of-way was noted for 13 pedestrians.
Pedestrian/Cyclist Action
Showing top 9 of 13 reported. 4 additional (7 total) not shown: Improper Turn/Merge, Entering/Exiting Parked/Standing Vehicle, Use of Electronic Device, Wrong-Way Riding or Walking.
Source: Connecticut Crash Data · Csv Open Data · 2018-11-01 to 2018-11-30 · Non-motorist records linked to crash events
Manner of Collision
The most prevalent type of crash was front-to-rear collisions, which accounted for 3,988 incidents, or 37.1% of the total. Angle collisions were the second most common type with 2,113 incidents (19.7%). Same-direction sideswipes were also frequent, representing 1,410 crashes (13.1%).
Manner of Collision
"Other" combines 1 smaller categories (82 records): Rear to rear (82).
Source: Connecticut Crash Data · Csv Open Data · 2018-11-01 to 2018-11-30 · Crash-level records
Person Type
A total of 26,364 people were involved in crashes during this period. Drivers were the largest group, accounting for 19,444 individuals (73.8%), while passengers numbered 5,874 (22.3%). The data also includes 152 pedestrians and 25 bicyclists involved in collisions.
Person Type
Source: Connecticut Crash Data · Csv Open Data · 2018-11-01 to 2018-11-30 · Crash-level records
Person Injury Severity
Of the 26,364 individuals involved in crashes, 28 sustained fatal injuries, representing 0.11% of all persons. A total of 3,308 people, or 12.5%, suffered some level of injury, ranging from possible to serious. The vast majority of people involved, 22,258 individuals, were not injured.
Person Injury Severity
Source: Connecticut Crash Data · Csv Open Data · 2018-11-01 to 2018-11-30 · Crash-level records
Occupant Safety Equipment
Shoulder and lap belts were the most commonly used form of safety equipment, reported for 18,766 occupants. A total of 451 motor vehicle occupants were documented as not using any restraint system at the time of the crash. This represents 2.1% of occupants for whom safety equipment usage was specified.
Occupant Safety Equipment
"Other" combines 3 smaller categories (135 records): Other (68), Booster Seat (46), Child Restraint, Type Unknown (21).
Source: Connecticut Crash Data · Csv Open Data · 2018-11-01 to 2018-11-30 · Person-level records linked to crash events
Vehicles Per Crash
The majority of crashes, 8,032 incidents, involved two vehicles. Single-vehicle crashes accounted for 2,004 incidents, or 18.7% of the total. Multi-vehicle collisions involving three or more vehicles were less common, totaling 700 incidents, with one crash involving as many as eight vehicles.
Vehicles Per Crash
"Other" combines 1 smaller categories (1 records): 8 (1).
Source: Connecticut Crash Data · Csv Open Data · 2018-11-01 to 2018-11-30 · 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: 2018-11-01 through 2018-11-30
- Report generated: August 20, 2026
Data Coverage
- Reporting period: 2018-11-01 through 2018-11-30 (30 days)
- Geographic scope: connecticut, CT
- Total crash records analyzed: 10,736
- Total persons involved: 26,364
- Total vehicles involved: 20,347
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: November 2018." Published August 20, 2026. Reporting period: 2018-11-01 to 2018-11-30. Data source: Connecticut Crash Data, Csv Open Data. Available at: https://thatcarhitme.com/crash-data/connecticut/statewide/november-2018-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: 2018-11-01 – 2018-11-30
Generated: August 20, 2026 · All rights reserved
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