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Monthly Traffic Safety Analysis

10,327 CRASHES IN
CONNECTICUT, CT
OCTOBER 2018

In October 2018, Connecticut recorded 10,327 traffic crashes, resulting in 24 fatalities and 3,512 injuries. These incidents involved 25,935 people and 19,664 vehicles across the state. A notable finding from the data is that front-to-rear collisions were the most common crash type, accounting for 38.4% of all incidents.

10,327

Total Crash Events

24

Persons Killed

3,512

Persons Injured

10.9%

Hit-and-Run Rate

Note: "Persons Killed" (24) counts individual fatalities across all crash events. "Fatal" in the severity table below (23) counts crash events where at least one fatality occurred. A single crash can result in multiple fatalities.

Source: Connecticut Crash Data · Csv Open Data · 2018-10-01 to 2018-10-31 · Aggregate counts from crash, person, and vehicle records

1,123

Hit-and-Run Crashes — October 2018

Based on initial officer determinations, 1,123 crashes, or 10.9% of the total, were classified as hit-and-run incidents. This designation is subject to change as investigations proceed. These crashes are a significant subset of the overall collision data for the period.

Vulnerable Road User Casualties

Of the 24 total fatalities, 15 were motor-vehicle occupants and 9 were pedestrians. No bicyclists were killed. Among the 3,512 people injured, 3,333 were motorists, 135 were pedestrians, and 44 were bicyclists. Pedestrians represented a significant portion of fatalities, accounting for 37.5% of all traffic deaths in this period.

9

Pedestrians Killed

0

Cyclists Killed

15

Motorists Killed

135

Pedestrians Injured

44

Cyclists Injured

3,333

Motorists Injured

Source: Connecticut Crash Data · Csv Open Data · 2018-10-01 to 2018-10-31 · Mode classified from person records (driver/passenger → motorist; pedestrian; bicyclist → cyclist; in-line skater / unspecified → other)

When Crashes Happen

Crash frequencies peaked midweek, with Wednesday recording the highest number of incidents at 1,788. The most common time for crashes was the 4 p.m. hour, with 906 events, aligning with the afternoon commute. Overall, data indicates that 69% of all crashes (7,123) occurred during daylight hours.

Source: Connecticut Crash Data · Csv Open Data · 2018-10-01 to 2018-10-31 · Crash date field aggregated by weekday

Source: Connecticut Crash Data · Csv Open Data · 2018-10-01 to 2018-10-31 · Crash time field aggregated by hour (0-23)

Crash Severity Breakdown

The majority of crashes, 75.6% (7,808), resulted in no injuries. The remaining incidents involved possible (13.9%), minor (9.2%), or serious (1.0%) injuries. There were 23 distinct fatal crashes, which resulted in a total of 24 fatalities, as a single crash can involve more than one death.

Severity is per crash event (most severe injury). 23 fatal crash events resulted in 24 persons killed.

Outcome by Severity (Crash Events)

Fatal23fatal crashes0.2%
Serious Injury108serious injury crashes1%
Minor Injury955minor injury crashes9.2%
Possible Injury1,433possible injury crashes13.9%
No Injury7,808no injury crashes75.6%

Source: Connecticut Crash Data · Csv Open Data · 2018-10-01 to 2018-10-31 · KABCO injury classification scale

Severity Distribution (Crash Events)

Source: Connecticut Crash Data · Csv Open Data · 2018-10-01 to 2018-10-31 · Most severe injury per crash record

Road & Environmental Conditions

A substantial majority of crashes occurred under ideal driving conditions. Data shows that 78% of incidents happened in clear weather, 80% on dry road surfaces, and 69% during daylight hours. Conversely, 1,440 crashes were recorded in rain and 1,993 occurred on wet roads, representing the most common adverse conditions.

Weather

Clear8,056 (78.4%)
Rain1,440 (14.0%)
Cloudy722 (7.0%)
Freezing Rain or Freezing Drizzle26 (0.3%)
Fog, Smog, Smoke22 (0.2%)
Other10 (0.1%)
Blowing Snow1 (0.0%)
Severe Crosswinds1 (0.0%)

Source: Connecticut Crash Data · Csv Open Data · 2018-10-01 to 2018-10-31 · Weather condition at time of crash

Lighting

Daylight7,123 (69.4%)
Dark-Lighted2,126 (20.7%)
Dark-Not Lighted643 (6.3%)
Dusk198 (1.9%)
Dawn113 (1.1%)
Dark-Unknown Lighting44 (0.4%)
Other22 (0.2%)

Source: Connecticut Crash Data · Csv Open Data · 2018-10-01 to 2018-10-31 · Lighting condition field

Road Surface

Dry8,252 (80.2%)
Wet1,993 (19.4%)
Standing Water13 (0.1%)
Ice / Frost8 (0.1%)
Other7 (0.1%)
Mud, Dirt, Gravel5 (0.0%)
Oil4 (0.0%)
Moving Water3 (0.0%)
Sand1 (0.0%)

Source: Connecticut Crash Data · Csv Open Data · 2018-10-01 to 2018-10-31 · Road surface condition field

Vehicles & Demographics

Among the 25,935 people involved in crashes, the 26-34 age group was the most represented, with 4,382 individuals. The most frequently involved vehicle makes were Honda (2,020 vehicles), Toyota (1,961 vehicles), and Ford (1,813 vehicles). These three makes combined account for a significant portion of the vehicles in reported collisions.

Top Vehicle Makes (19,664 vehicles)

1
HONDA2,020 (10.3%)
2
TOYOTA1,961 (10%)
3
FORD1,813 (9.2%)
4
NISSAN1,506 (7.7%)
5
CHEVROLET1,117 (5.7%)
6
JEEP776 (3.9%)
7
SUBARU742 (3.8%)
8
HYUNDAI620 (3.2%)
9
DODGE495 (2.5%)
10
BMW452 (2.3%)

Source: Connecticut Crash Data · Csv Open Data · 2018-10-01 to 2018-10-31 · Vehicle unit records

1,758 persons with unknown or unrecorded age excluded from age chart.

Sex Distribution (24,435 persons with recorded sex)

Male13,317 (54.5%)
Female11,118 (45.5%)

Source: Connecticut Crash Data · Csv Open Data · 2018-10-01 to 2018-10-31 · Person-level records linked to crash events

Speed Limit Zones

The most crashes, 3,120 or 30.2% of the total, occurred in zones with a posted speed limit of 25 mph. While lower-speed zones saw more crashes, the percentage of crashes that were fatal tended to increase with the speed limit. For instance, 0.19% of crashes in 25 mph zones were fatal, compared to 0.62% of crashes in 65 mph zones.

Fatal crashes by zone: 25 mph: 6 of 3,120 (0.192%) · 30 mph: 1 of 879 (0.114%) · 35 mph: 2 of 1,238 (0.162%) · 40 mph: 3 of 667 (0.45%) · 45 mph: 2 of 417 (0.48%) · 50 mph: 2 of 325 (0.615%) · 55 mph: 4 of 941 (0.425%) · 65 mph: 3 of 485 (0.619%)

Source: Connecticut Crash Data · Csv Open Data · 2018-10-01 to 2018-10-31 · Posted speed limit at crash location

Top Counties

Crash distribution was heavily concentrated in three counties, which together accounted for over 83% of all incidents statewide. Fairfield County had the most crashes with 3,088 (29.9%), followed by New Haven County with 2,849 (27.6%), and Hartford County with 2,665 (25.8%). The remaining five counties each recorded fewer than 600 crashes.

Top Counties

1
Fairfield3,088 (29.9%)
2
New Haven2,849 (27.6%)
3
Hartford2,665 (25.8%)
4
New London585 (5.7%)
5
Middlesex378 (3.7%)
6
Litchfield340 (3.3%)
7
Tolland239 (2.3%)
8
Windham179 (1.7%)

Source: Connecticut Crash Data · Csv Open Data · 2018-10-01 to 2018-10-31 · Crash-level records

Top Towns

Connecticut's most populous cities saw the highest number of traffic incidents in October 2018. Hartford recorded the most crashes with 681, followed by New Haven with 660, and Bridgeport with 565. These three cities alone accounted for 1,906 crashes, representing 18.5% of the statewide total.

Top Towns

1
Hartford681 (8.2%)
2
New Haven660 (7.9%)
3
Bridgeport565 (6.8%)
4
Waterbury526 (6.3%)
5
Stamford460 (5.5%)
6
Danbury373 (4.5%)
7
Norwalk349 (4.2%)
8
Fairfield262 (3.1%)
9
Greenwich197 (2.4%)

Showing top 9 of 50 reported. 41 additional (4,269 total) not shown: Hamden, Meriden, West Hartford, West Haven, New Britain, Stratford, East Hartford, Bristol, Middletown, Wallingford, Manchester, Milford, Norwich, Westport, Windsor, Southington, Farmington, New London, Trumbull, Newington, North Haven, Torrington, Wethersfield, Orange, Groton, Plainville, Shelton, Cheshire, East Haven, Bloomfield, Newtown, Enfield, Darien, Branford, Naugatuck, Rocky Hill, Berlin, Mansfield, Vernon, Bethel, Glastonbury.

Source: Connecticut Crash Data · Csv Open Data · 2018-10-01 to 2018-10-31 · Crash-level records

Road Class

Crashes were most frequent on arterial roads, with 2,885 on Minor Arterials and 2,337 on Principal Arterials. Combined, these two classes accounted for over half of all crashes. Limited-access highways, including Interstates (1,435 crashes) and Freeways/Expressways (790 crashes), made up approximately 21.5% of the total incidents.

Road Class

Source: Connecticut Crash Data · Csv Open Data · 2018-10-01 to 2018-10-31 · Crash-level records

Route System

Analysis of roadway ownership shows a split between state-maintained and local roads. A total of 5,791 crashes occurred on state-maintained routes (Interstate, US, and State routes). In comparison, 4,045 crashes were recorded on local roads, highlighting the distribution of incidents across different jurisdictional responsibilities.

Route System

Source: Connecticut Crash Data · Csv Open Data · 2018-10-01 to 2018-10-31 · Crash-level records

Public vs Private Road

Of the crashes where roadway ownership was documented, the vast majority occurred on public roads. A total of 9,769 incidents were on public roadways, while 381 crashes, or approximately 3.7% of the specified total, took place on private property such as parking lots or private drives.

Rural vs Urban

The data indicates a strong urban concentration of traffic incidents. Of the crashes with a specified location type, 9,341 occurred in urban areas. In contrast, 396 crashes, representing about 4.1% of the total, were recorded in rural areas.

Rural vs Urban

Source: Connecticut Crash Data · Csv Open Data · 2018-10-01 to 2018-10-31 · Crash-level records

Junction Type

The majority of crashes, 6,705 incidents, did not occur at an intersection. Approximately 34.8% of crashes happened at a junction, with four-way intersections (1,806 crashes) and T-intersections (1,587 crashes) being the most common types. Roundabouts and traffic circles accounted for a combined total of 20 crashes.

Junction Type

1
Not at Intersection6,705 (65.1%)
2
Four-Way Intersection1,806 (17.5%)
3
T-Intersection1,587 (15.4%)
4
Y-Intersection109 (1.1%)
5
Five-Point, or More40 (0.4%)
6
L-Intersection31 (0.3%)
7
Traffic Circle11 (0.1%)
8
Roundabout9 (0.1%)

Source: Connecticut Crash Data · Csv Open Data · 2018-10-01 to 2018-10-31 · Crash-level records

Run-off-Road / Fixed-Object Strikes

Among crashes involving a collision with a fixed object, the most frequently struck items were guardrail faces (244 incidents), other fixed objects like walls or buildings (204), and utility poles or light supports (184). Combined, collisions with utility poles (184) and trees (106) accounted for 290 run-off-road crashes.

Run-off-Road / Fixed-Object Strikes

1
Guardrail Face244 (17.6%)
2
Other Fixed Object (wall, building, tunnel, etc.)204 (14.7%)
3
Utility Pole/Light Support184 (13.3%)
4
Curb127 (9.2%)
5
Other Post, Pole or Support116 (8.4%)
6
Tree (standing)106 (7.6%)
7
Concrete Traffic Barrier87 (6.3%)
8
Embankment51 (3.7%)
9
Traffic Sign Support50 (3.6%)

Showing top 9 of 22 reported. 13 additional (217 total) not shown: Mailbox, Cable Barrier, Fence, Ditch, Struck by Falling, Shifting Cargo or Anything Set in Motion by Motor Vehicle, Other Traffic Barrier, Guardrail End, Bridge Overhead Structure, Impact Attenuator/Crash Cushion, Bridge Rail, Traffic Signal Support, Culvert, Bridge Pier or Support.

Source: Connecticut Crash Data · Csv Open Data · 2018-10-01 to 2018-10-31 · Crash-level records

Vehicle Type

Passenger cars were the most common vehicle type involved in crashes, accounting for 11,710 vehicles, followed by Sport Utility Vehicles with 4,162. The data also includes involvement of 479 medium or heavy trucks, 87 motorcycles, and a combined 207 school and transit buses, which are notable due to their potential for higher-severity outcomes.

Vehicle Type

1
Passenger Car11,710 (60.7%)
2
(Sport) Utility Vehicle4,162 (21.6%)
3
Pick Up1,308 (6.8%)
4
Passenger Van596 (3.1%)
5
Medium / Heavy Trucks (more than 10,000 lbs (4,536 kg))479 (2.5%)
6
Other Light Trucks (10,000 lbs (4,536 kg) or less)259 (1.3%)
7
Cargo Van (10,000 lbs/4,536 kg or less)228 (1.2%)
8
Other177 (0.9%)
9
School Bus118 (0.6%)

Showing top 9 of 18 reported. 9 additional (252 total) not shown: Transit Bus, Motorcycle, Moped, Other Bus, Motor Coach, Motor Home, Low Speed Vehicle, Golf Cart, All Terrain Vehicle (ATV).

Source: Connecticut Crash Data · Csv Open Data · 2018-10-01 to 2018-10-31 · Vehicle unit records

Traffic Control Device

The most common scenario recorded for traffic control was 'No Control Device,' which was noted in 12,821 instances at the vehicle level. Locations with a 'Traffic Control Signal' were the next most frequent, with 5,019 vehicle involvements. Crashes at intersections with stop signs were also common, with 1,460 vehicle involvements noted.

Traffic Control Device

"Other" combines 5 smaller categories (48 records): Warning Sign (16), Marked Uncontrolled Crosswalk (12), Pedestrian Button (7), Railway Crossing Device (7), School Zone Sign/Device (6).

Source: Connecticut Crash Data · Csv Open Data · 2018-10-01 to 2018-10-31 · Vehicle unit records

Vulnerable Road Users & Motorcycles

A total of 299 crashes involved pedestrians, bicyclists, or motorcyclists. Of these, pedestrians were involved in 159 incidents and bicyclists in 57, for a combined vulnerable road user total of 216 crashes. Motorcyclists were involved in the remaining 83 crashes.

Driver Contributing Action

Excluding drivers with no contributing action, the most common action cited was 'Followed Too Closely,' attributed to 3,245 drivers. This was followed by 'Failed to Keep in Proper Lane' with 1,855 drivers and 'Failed to Yield Right-of-Way' with 1,135 drivers. These three actions represent the leading driver-related factors in collisions.

Driver Contributing Action

1
No Contributing Action8,594 (48.1%)
2
Followed Too Closely3,245 (18.2%)
3
Failed to Keep in Proper Lane1,855 (10.4%)
4
Failed to Yield Right-of-Way1,135 (6.4%)
5
Other Contributing Action555 (3.1%)
6
Improper Backing544 (3%)
7
Improper Turn401 (2.2%)
8
Ran Off Roadway313 (1.8%)
9
Improper Passing243 (1.4%)

Showing top 9 of 19 reported. 10 additional (977 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, Disregarded Other Traffic Sign, Wrong Side or Wrong Way, Disregarded Other Road Markings, Overtaking Cyclist.

Source: Connecticut Crash Data · Csv Open Data · 2018-10-01 to 2018-10-31 · Person-level records linked to crash events

Driver Condition

While most drivers were recorded as 'Apparently Normal,' several other conditions were noted. A total of 245 drivers were believed to be under the influence of medications, drugs, or alcohol. Additionally, 129 drivers were identified as asleep or fatigued, and 100 were noted as being emotional.

Driver Condition

1
Apparently Normal16,768 (96.3%)
2
Under the Influence of Medications/Drugs/Alcohol245 (1.4%)
3
Asleep or Fatigued129 (0.7%)
4
Emotional (depressed, angry, disturbed, etc.)100 (0.6%)
5
Other82 (0.5%)
6
Ill (sick), Fainted46 (0.3%)
7
Physically Impaired43 (0.2%)

Source: Connecticut Crash Data · Csv Open Data · 2018-10-01 to 2018-10-31 · Person-level records linked to crash events

Pre-Crash Driver Action

The most common pre-crash action for vehicles was 'Straight Ahead,' recorded for 8,749 vehicles, or 44.5% of the total. The next most frequent actions were 'Stopped in Traffic' (2,327 vehicles) and 'Turning Left' (1,533 vehicles). These actions describe the movement of vehicles immediately prior to the collision event.

Pre-Crash Driver Action

1
Straight Ahead8,749 (45.5%)
2
Stopped in Traffic2,327 (12.1%)
3
Turning Left1,533 (8%)
4
Slowing1,510 (7.9%)
5
Parked1,172 (6.1%)
6
Changing Lanes679 (3.5%)
7
Turning Right677 (3.5%)
8
Backing657 (3.4%)
9
Negotiating a Curve597 (3.1%)

Showing top 9 of 17 reported. 8 additional (1,328 total) not shown: Entering Traffic Lane, Overtaking/Passing, Other, Leaving Traffic Lane, Making U-Turn, Wrong way (or Wrong Side), Traveling in Bike Lane, Overtaking/Passing Cyclist.

Source: Connecticut Crash Data · Csv Open Data · 2018-10-01 to 2018-10-31 · Vehicle unit records

Point of Impact

Analysis of vehicle impact points shows that frontal collisions were most common. The front of the vehicle, designated as 'Sector 12,' was the point of impact for 5,616 vehicles. The second most common impact area was the rear of the vehicle ('Sector 6'), which was struck in 3,988 instances.

Point of Impact

"Other" combines 9 smaller categories (2,928 records): Sector 5 (South by SouthEast) in the 12-point Clock Diagram (643), Sector 9 (West) in the 12-point Clock Diagram (541), Sector 8 (SouthWest) in the 12-point Clock Diagram (521), Sector 4 (SouthEast) in the 12-point Clock Diagram (472), Sector 3 (East) in the 12-point Clock Diagram (471), Non-Collision (126), Top (101), Undercarriage (38), Cargo loss (15).

Source: Connecticut Crash Data · Csv Open Data · 2018-10-01 to 2018-10-31 · Vehicle unit records

Pedestrian/Cyclist Action

Among pedestrians involved in crashes where an action was recorded, 100 were determined to have committed 'No Improper Action.' For those with improper actions noted, the most frequent were 'Failure to Yield Right-Of-Way' (25 pedestrians), 'In Roadway Improperly' (18), and 'Dart/Dash' (17).

Pedestrian/Cyclist Action

1
No Improper Action100 (46.5%)
2
Failure to Yield Right-Of-Way25 (11.6%)
3
Other20 (9.3%)
4
In Roadway Improperly (Standing, Lying, Working, Playing)18 (8.4%)
5
Dart/Dash17 (7.9%)
6
Failure to Obey Traffic Signs, Signals, or Officer11 (5.1%)
7
Wrong-Way Riding or Walking9 (4.2%)
8
Not Visible (Dark Clothing, No Lighting, etc.)7 (3.3%)
9
Inattentive (Talking, Eating, etc.)3 (1.4%)

Showing top 9 of 12 reported. 3 additional (5 total) not shown: Entering/Exiting Parked/Standing Vehicle, Improper Turn/Merge, Use of Electronic Device.

Source: Connecticut Crash Data · Csv Open Data · 2018-10-01 to 2018-10-31 · Non-motorist records linked to crash events

Manner of Collision

The most prevalent type of crash was 'Front to rear,' which accounted for 3,966 incidents, or 38.4% of all crashes. The next most common patterns were 'Angle' collisions (1,991 crashes) and 'Sideswipe, same direction' (1,461 crashes). These three types make up the vast majority of multi-vehicle collisions.

Manner of Collision

"Other" combines 1 smaller categories (74 records): Rear to rear (74).

Source: Connecticut Crash Data · Csv Open Data · 2018-10-01 to 2018-10-31 · Crash-level records

Person Type

Of the 25,935 individuals involved in crashes, the majority were drivers, accounting for 18,728 people (72.2%). Passengers constituted the second-largest group with 5,969 individuals (23.0%). The records also include 172 pedestrians and 58 bicyclists involved in these traffic incidents.

Person Type

Source: Connecticut Crash Data · Csv Open Data · 2018-10-01 to 2018-10-31 · Crash-level records

Person Injury Severity

Out of 25,935 people involved in crashes, 24 sustained fatal injuries and 3,512 sustained some level of injury (serious, minor, or possible). This means approximately 13.6% of all individuals involved were either injured or killed. The vast majority of people, 21,536, were recorded as having no injuries.

Person Injury Severity

Source: Connecticut Crash Data · Csv Open Data · 2018-10-01 to 2018-10-31 · Crash-level records

Occupant Safety Equipment

Among vehicle occupants where safety equipment use was recorded, 'Shoulder and Lap Belt Used' was the most common entry with 17,724 individuals. However, it was noted that 503 occupants were not using any form of restraint. This represents approximately 2.4% of occupants with a specified restraint status.

Occupant Safety Equipment

"Other" combines 3 smaller categories (142 records): Other (69), Booster Seat (51), Child Restraint, Type Unknown (22).

Source: Connecticut Crash Data · Csv Open Data · 2018-10-01 to 2018-10-31 · Person-level records linked to crash events

Vehicles Per Crash

The data shows that two-vehicle crashes were the most common type, accounting for 7,879 incidents (76.3% of all crashes). Single-vehicle crashes were the next most frequent, with 1,797 incidents, or 17.4% of the total. Crashes involving three or more vehicles were less common, with 567 three-vehicle pile-ups recorded.

Vehicles Per Crash

Source: Connecticut Crash Data · Csv Open Data · 2018-10-01 to 2018-10-31 · 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: 2018-10-01 through 2018-10-31
  • Report generated: August 20, 2026

Data Coverage

  • Reporting period: 2018-10-01 through 2018-10-31 (31 days)
  • Geographic scope: connecticut, CT
  • Total crash records analyzed: 10,327
  • Total persons involved: 25,935
  • Total vehicles involved: 19,664

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 2018." Published August 20, 2026. Reporting period: 2018-10-01 to 2018-10-31. Data source: Connecticut Crash Data, Csv Open Data. Available at: https://thatcarhitme.com/crash-data/connecticut/statewide/october-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

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