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CRASH INTELLIGENCE REPORT · CONNECTICUT, CT · JUNE 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/june-2018-report
Monthly Traffic Safety Analysis
9,743 CRASHES IN
CONNECTICUT, CT
JUNE 2018
In June 2018, Connecticut recorded 9,743 traffic crashes, resulting in 28 fatalities and 3,336 injuries. The most common type of collision was front-to-rear, accounting for 37.6% of all incidents. These crashes occurred across the state under various conditions and times, with detailed analysis revealing specific patterns in timing, location, and severity.
9,743
Total Crash Events
28
Persons Killed
3,336
Persons Injured
11.8%
Hit-and-Run Rate
Note: "Persons Killed" (28) counts individual fatalities across all crash events. "Fatal" in the severity table below (26) counts crash events where at least one fatality occurred. A single crash can result in multiple fatalities.
Source: Connecticut Crash Data · Csv Open Data · 2018-06-01 to 2018-06-30 · Aggregate counts from crash, person, and vehicle records
1,147
Hit-and-Run Crashes — June 2018
Based on the responding officer's initial determination, 1,147 crashes in June 2018 were classified as hit-and-run incidents. This represents 11.8% of all crashes recorded during the period. The data reflects incidents where at least one party left the scene of the collision without providing required information.
Vulnerable Road User Casualties
In June 2018, vehicle occupants (motorists) accounted for the majority of traffic casualties, with 26 killed and 3,177 injured. Among vulnerable road users, there were 2 pedestrian fatalities and 97 pedestrian injuries. While no cyclists were killed, 60 were injured in collisions during this period.
2
Pedestrians Killed
0
Cyclists Killed
26
Motorists Killed
0
Other Killed
97
Pedestrians Injured
60
Cyclists Injured
3,177
Motorists Injured
2
Other Injured
Source: Connecticut Crash Data · Csv Open Data · 2018-06-01 to 2018-06-30 · Mode classified from person records (driver/passenger → motorist; pedestrian; bicyclist → cyclist; in-line skater / unspecified → other)
When Crashes Happen
Crash occurrences in June 2018 showed distinct temporal patterns, with Friday being the most frequent day for incidents, recording 1,870 crashes. The single busiest hour was the 5 p.m. commute, with 858 crashes. Overall, collisions were most common during daylight hours, which saw 7,922 incidents, while the afternoon hours between 3 p.m. and 6 p.m. represented a significant peak period.
Source: Connecticut Crash Data · Csv Open Data · 2018-06-01 to 2018-06-30 · Crash date field aggregated by weekday
Source: Connecticut Crash Data · Csv Open Data · 2018-06-01 to 2018-06-30 · Crash time field aggregated by hour (0-23)
Crash Severity Breakdown
Of the 9,743 crashes, the vast majority (75.0%) resulted in no injuries. Injury-involved crashes, including serious, minor, and possible injuries, accounted for 2,413 incidents. There were 26 fatal crashes, which resulted in a total of 28 fatalities, indicating that some crashes involved more than one death.
Severity is per crash event (most severe injury). 26 fatal crash events resulted in 28 persons killed.
Outcome by Severity (Crash Events)
Source: Connecticut Crash Data · Csv Open Data · 2018-06-01 to 2018-06-30 · KABCO injury classification scale
Severity Distribution (Crash Events)
Source: Connecticut Crash Data · Csv Open Data · 2018-06-01 to 2018-06-30 · Most severe injury per crash record
Road & Environmental Conditions
The majority of crashes occurred in ideal driving conditions. Specifically, 88.0% of incidents (8,578) happened in clear weather, and 90.8% (8,843) occurred on dry road surfaces. Collisions during daylight hours were most frequent, accounting for 7,922 crashes, or 81.3% of the total for the month.
Weather
Source: Connecticut Crash Data · Csv Open Data · 2018-06-01 to 2018-06-30 · Weather condition at time of crash
Lighting
Source: Connecticut Crash Data · Csv Open Data · 2018-06-01 to 2018-06-30 · Lighting condition field
Road Surface
Source: Connecticut Crash Data · Csv Open Data · 2018-06-01 to 2018-06-30 · Road surface condition field
Vehicles & Demographics
Analysis of persons involved in crashes shows the 26-34 age group was the most represented, with 4,132 individuals. Regarding vehicle makes, Honda was the most frequently involved with 1,892 vehicles recorded in crashes. This was followed by Toyota with 1,685 vehicles and Ford with 1,671 vehicles.
Top Vehicle Makes (18,646 vehicles)
Source: Connecticut Crash Data · Csv Open Data · 2018-06-01 to 2018-06-30 · Vehicle unit records
1,565 persons with unknown or unrecorded age excluded from age chart.
Sex Distribution (23,121 persons with recorded sex)
Source: Connecticut Crash Data · Csv Open Data · 2018-06-01 to 2018-06-30 · Person-level records linked to crash events
Speed Limit Zones
The highest number of crashes, 2,898 incidents, occurred in zones with a posted speed limit of 25 mph. While lower speed zones saw more total crashes, the fatality rate within a zone varied. For instance, 1.474% of crashes in 45 mph zones were fatal, the highest rate recorded, compared to 0.207% in 25 mph zones and 0.592% in 65 mph zones.
Fatal crashes by zone: 1 mph: 1 of 1,157 (0.086%) · 25 mph: 6 of 2,898 (0.207%) · 30 mph: 3 of 796 (0.377%) · 35 mph: 3 of 1,099 (0.273%) · 45 mph: 6 of 407 (1.474%) · 55 mph: 3 of 843 (0.356%) · 65 mph: 3 of 507 (0.592%)
Source: Connecticut Crash Data · Csv Open Data · 2018-06-01 to 2018-06-30 · Posted speed limit at crash location
Top Counties
Crash distribution across Connecticut was concentrated in its most populous counties. Fairfield County recorded the highest volume with 2,982 crashes, representing 30.6% of the statewide total. New Haven County followed with 2,746 crashes (28.2%), and Hartford County had 2,407 crashes (24.7%).
Top Counties
Source: Connecticut Crash Data · Csv Open Data · 2018-06-01 to 2018-06-30 · Crash-level records
Top Towns
The highest concentration of crashes occurred in Connecticut's major urban centers. The city of Hartford experienced the most incidents with 659 crashes, accounting for 6.8% of the state's total. New Haven followed closely with 608 crashes (6.2%), and Bridgeport recorded 527 crashes (5.4%).
Top Towns
Showing top 9 of 50 reported. 41 additional (4,091 total) not shown: Stratford, Meriden, Hamden, Milford, West Haven, New Britain, East Hartford, Manchester, Bristol, West Hartford, Trumbull, Westport, Middletown, Wallingford, Norwich, North Haven, Orange, Southington, Wethersfield, Windsor, Farmington, Torrington, Darien, New London, Newtown, Branford, Rocky Hill, East Haven, Groton, Glastonbury, Naugatuck, Berlin, Cheshire, Newington, Shelton, Vernon, Cromwell, Waterford, New Canaan, Enfield, Plainville.
Source: Connecticut Crash Data · Csv Open Data · 2018-06-01 to 2018-06-30 · Crash-level records
Road Class
Arterial roads were the site of the majority of crashes, with minor arterials accounting for 2,587 incidents and principal arterials for 2,064. Combined, these arterial roads represented over half of all crashes where the road class was known. Limited-access highways, including Interstates and Freeways, collectively accounted for 2,099 crashes.
Road Class
Source: Connecticut Crash Data · Csv Open Data · 2018-06-01 to 2018-06-30 · Crash-level records
Route System
When categorized by route system, 5,427 crashes occurred on state-maintained roadways, including State, Interstate, and US Routes. This accounts for 58.9% of crashes with a known route system. In contrast, locally-owned roads were the location for 3,780 crashes, or 41.1% of the total.
Route System
Source: Connecticut Crash Data · Csv Open Data · 2018-06-01 to 2018-06-30 · Crash-level records
Public vs Private Road
Analysis of roadway ownership indicates that the vast majority of incidents occurred on public roads, with 9,106 crashes. A smaller but notable number of crashes, 428 incidents or 4.5% of the total, took place on private property such as parking lots or private drives.
Rural vs Urban
The data indicates a significant disparity in crash locations based on geographic classification, with 8,680 crashes occurring in urban areas. Crashes in rural areas were far less frequent, accounting for 397 incidents, or 4.4% of all crashes where the classification was recorded.
Rural vs Urban
Source: Connecticut Crash Data · Csv Open Data · 2018-06-01 to 2018-06-30 · Crash-level records
Junction Type
A majority of crashes, 6,464 incidents, occurred at locations not classified as intersections. The remaining 3,254 crashes happened at or near a junction, with four-way intersections being the most common type (1,629 crashes), followed by T-intersections (1,409 crashes).
Junction Type
Source: Connecticut Crash Data · Csv Open Data · 2018-06-01 to 2018-06-30 · Crash-level records
Run-off-Road / Fixed-Object Strikes
Among crashes involving a collision with a fixed object, the most frequently struck object was a guardrail face, involved in 215 incidents. This was followed by utility poles or light supports (197 crashes) and trees (95 crashes). Collisions with poles and trees combined accounted for 399 of these run-off-road events.
Run-off-Road / Fixed-Object Strikes
Showing top 9 of 22 reported. 13 additional (215 total) not shown: Embankment, Fence, Traffic Sign Support, Guardrail End, Other Traffic Barrier, Ditch, Bridge Overhead Structure, Bridge Pier or Support, Struck by Falling, Shifting Cargo or Anything Set in Motion by Motor Vehicle, Impact Attenuator/Crash Cushion, Traffic Signal Support, Bridge Rail, Culvert.
Source: Connecticut Crash Data · Csv Open Data · 2018-06-01 to 2018-06-30 · Crash-level records
Vehicle Type
Passenger cars were the most common vehicle type involved in crashes, accounting for 10,971 vehicles, followed by sport utility vehicles with 3,888. Notably, 467 medium or heavy trucks were involved in collisions. Additionally, 213 motorcycles and 143 buses were recorded in crash events during this period.
Vehicle Type
Showing top 9 of 18 reported. 9 additional (217 total) not shown: School Bus, Transit Bus, Moped, Other Bus, Motor Home, Low Speed Vehicle, All Terrain Vehicle (ATV), Golf Cart, Motor Coach.
Source: Connecticut Crash Data · Csv Open Data · 2018-06-01 to 2018-06-30 · Vehicle unit records
Traffic Control Device
The majority of vehicles in crashes were at locations with no traffic control device, accounting for 12,399 vehicles. Crashes at locations with a traffic control signal involved 4,451 vehicles. Locations governed by a stop sign were the third most common, with 1,419 vehicles involved in crashes.
Traffic Control Device
"Other" combines 5 smaller categories (41 records): Marked Uncontrolled Crosswalk (16), Warning Sign (14), Railway Crossing Device (5), Pedestrian Button (4), School Zone Sign/Device (2).
Source: Connecticut Crash Data · Csv Open Data · 2018-06-01 to 2018-06-30 · Vehicle unit records
Vulnerable Road Users & Motorcycles
Crashes in this period involved 389 vulnerable road users and motorcyclists. Motorcyclists were the largest group with 207 incidents. Pedestrians and bicyclists together accounted for 182 crashes, with 115 involving pedestrians and 67 involving bicyclists.
Driver Contributing Action
Among driver actions cited as contributing factors, 'Followed Too Closely' was the most common, attributed to 2,968 drivers. 'Failed to Keep in Proper Lane' was the second most frequent action, noted for 1,778 drivers. 'Failed to Yield Right-of-Way' was cited for 1,014 drivers involved in crashes.
Driver Contributing Action
Showing top 9 of 19 reported. 10 additional (933 total) not shown: Improper Passing, Operated Motor Vehicle in Inattentive, Careless, Negligent, or Erratic Manner, Ran Red Light, Operated Motor Vehicle in Reckless or Aggressive Manner, Swerved or Avoided Due to Wind, Slippery Surface, Motor Vehicle, Object, Non-Motorist in Roadway, etc., 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 · 2018-06-01 to 2018-06-30 · Person-level records linked to crash events
Driver Condition
While most drivers were recorded as 'Apparently Normal,' several adverse conditions were noted. Driving under the influence of medications, drugs, or alcohol was cited for 251 drivers. An additional 173 drivers were identified as being asleep or fatigued at the time of their crash.
Driver Condition
Source: Connecticut Crash Data · Csv Open Data · 2018-06-01 to 2018-06-30 · Person-level records linked to crash events
Pre-Crash Driver Action
The most common pre-crash action for vehicles was 'Straight Ahead,' recorded for 8,265 vehicles, representing 44.3% of all actions. The second most frequent situation involved vehicles that were 'Stopped in Traffic' (2,113 vehicles). 'Turning Left' was the third most common pre-crash maneuver, noted for 1,434 vehicles.
Pre-Crash Driver Action
Showing top 9 of 17 reported. 8 additional (1,223 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 · 2018-06-01 to 2018-06-30 · Vehicle unit records
Point of Impact
Analysis of the point of impact shows that frontal collisions were the most frequent, with 5,166 vehicles being struck in the front ('Sector 12'). The second most common impact point was the rear of the vehicle ('Sector 6'), which was recorded in 3,779 instances. These two impact types represent the majority of collisions.
Point of Impact
"Other" combines 9 smaller categories (2,926 records): Sector 2 (NorthEast) in the 12-point Clock Diagram (673), Sector 9 (West) in the 12-point Clock Diagram (558), Sector 8 (SouthWest) in the 12-point Clock Diagram (556), Sector 3 (East) in the 12-point Clock Diagram (442), Sector 4 (SouthEast) in the 12-point Clock Diagram (434), Non-Collision (131), Top (100), Undercarriage (25), Cargo loss (7).
Source: Connecticut Crash Data · Csv Open Data · 2018-06-01 to 2018-06-30 · Vehicle unit records
Pedestrian/Cyclist Action
While 91 pedestrians involved in crashes were recorded as having taken 'No Improper Action,' several contributing actions were cited for others. The most common improper action was 'Failure to Yield Right-Of-Way,' noted in 18 cases. This was followed by 'In Roadway Improperly' with 16 instances and 'Dart/Dash' with 11 instances.
Pedestrian/Cyclist Action
Showing top 9 of 14 reported. 5 additional (6 total) not shown: Disabled Vehicle Related (Working on, Pushing, Leaving/Approaching), Not Visible (Dark Clothing, No Lighting, etc.), Improper Passing, Improper Turn/Merge, Use of Electronic Device.
Source: Connecticut Crash Data · Csv Open Data · 2018-06-01 to 2018-06-30 · Non-motorist records linked to crash events
Manner of Collision
The most prevalent type of collision was 'Front to rear,' accounting for 3,668 crashes, or 37.6% of the total. Angle collisions were the second most common type with 1,888 incidents (19.4%). 'Sideswipe, same direction' crashes were third, with 1,371 occurrences (14.1%).
Manner of Collision
"Other" combines 1 smaller categories (104 records): Rear to rear (104).
Source: Connecticut Crash Data · Csv Open Data · 2018-06-01 to 2018-06-30 · Crash-level records
Person Type
Of the 24,531 individuals involved in crashes, the majority were drivers, accounting for 17,635 people. Passengers made up the next largest group with 5,643 individuals. The records also included 124 pedestrians and 68 bicyclists involved in collisions.
Person Type
Source: Connecticut Crash Data · Csv Open Data · 2018-06-01 to 2018-06-30 · Crash-level records
Person Injury Severity
Across all 24,531 people involved in crashes, 20,227 (82.5%) sustained no injuries. A total of 3,336 individuals were injured, with severities ranging from possible (1,970) and minor (1,229) to serious (137). The crashes resulted in 28 fatalities, representing 0.11% of all persons involved.
Person Injury Severity
Source: Connecticut Crash Data · Csv Open Data · 2018-06-01 to 2018-06-30 · Crash-level records
Occupant Safety Equipment
The vast majority of vehicle occupants, 16,958 individuals, were recorded as using a shoulder and lap belt. However, 361 occupants were documented as not using any restraint system at the time of the crash. Additionally, 439 individuals were secured in a forward-facing child restraint system.
Occupant Safety Equipment
"Other" combines 3 smaller categories (174 records): Other (84), Booster Seat (66), Child Restraint, Type Unknown (24).
Source: Connecticut Crash Data · Csv Open Data · 2018-06-01 to 2018-06-30 · Person-level records linked to crash events
Vehicles Per Crash
The data shows that most crashes involved two vehicles, with 7,454 such incidents recorded. Single-vehicle crashes were the next most common category, accounting for 1,656 incidents, or 17.0% of the total. Multi-vehicle collisions involving three or more vehicles occurred 632 times.
Vehicles Per Crash
Source: Connecticut Crash Data · Csv Open Data · 2018-06-01 to 2018-06-30 · 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: 2018-06-01 through 2018-06-30
- Report generated: August 20, 2026
Data Coverage
- Reporting period: 2018-06-01 through 2018-06-30 (30 days)
- Geographic scope: connecticut, CT
- Total crash records analyzed: 9,743
- Total persons involved: 24,531
- Total vehicles involved: 18,646
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: June 2018." Published August 20, 2026. Reporting period: 2018-06-01 to 2018-06-30. Data source: Connecticut Crash Data, Csv Open Data. Available at: https://thatcarhitme.com/crash-data/connecticut/statewide/june-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: 2018-06-01 – 2018-06-30
Generated: August 20, 2026 · All rights reserved
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