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ThatCarHitMe.com
An Injuria.ai Company
CRASH INTELLIGENCE REPORT · CONNECTICUT, CT · JUNE 2020
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-2020-report
Monthly Traffic Safety Analysis
6,486 CRASHES IN
CONNECTICUT, CT
JUNE 2020
In June 2020, Connecticut recorded 6,486 traffic crashes, resulting in 31 fatalities and 2,530 injuries. The data indicates that the most common type of collision was front-to-rear, accounting for 2,065 incidents, or 31.8% of all crashes. These events were most frequent on Tuesdays and during the 3 p.m. hour.
6,486
Total Crash Events
31
Persons Killed
2,530
Persons Injured
14.4%
Hit-and-Run Rate
Note: "Persons Killed" (31) counts individual fatalities across all crash events. "Fatal" in the severity table below (30) counts crash events where at least one fatality occurred. A single crash can result in multiple fatalities.
Source: Connecticut Crash Data Repository · Open Data · 2020-06-01 to 2020-06-30 · Aggregate counts from crash, person, and vehicle records
936
Hit-and-Run Crashes — June 2020
Based on the responding officer's initial determination, 936 crashes in this period were classified as hit-and-runs. This represents 14.4% of all reported traffic incidents. This classification is subject to change as investigations proceed.
Vulnerable Road User Casualties
Motorists comprised the largest group of individuals killed or seriously injured, with 28 fatalities and 2,413 injuries recorded. Among vulnerable road users, there were 3 pedestrian fatalities and 70 pedestrians injured. Additionally, while no cyclists were killed, 46 sustained injuries during this period.
3
Pedestrians Killed
0
Cyclists Killed
28
Motorists Killed
0
Other Killed
70
Pedestrians Injured
46
Cyclists Injured
2,413
Motorists Injured
1
Other Injured
Source: Connecticut Crash Data Repository · Open Data · 2020-06-01 to 2020-06-30 · Mode classified from person records (driver/passenger → motorist; pedestrian; bicyclist → cyclist; in-line skater / unspecified → other)
When Crashes Happen
Crash frequencies peaked on Tuesday, which saw 1,093 incidents, while the most hazardous time of day was the 3 p.m. hour, with 561 crashes recorded. A significant majority of collisions, 5,120 or approximately 79%, occurred during daylight hours. The remaining incidents were distributed across dark-lighted (857), dark-not lighted (295), dusk (77), and dawn (31) conditions.
Source: Connecticut Crash Data Repository · Open Data · 2020-06-01 to 2020-06-30 · Crash date field aggregated by weekday
Source: Connecticut Crash Data Repository · Open Data · 2020-06-01 to 2020-06-30 · Crash time field aggregated by hour (0-23)
Crash Severity Breakdown
The majority of crashes, 4,645 incidents or 71.6%, resulted in no injuries and involved only property damage. The remaining 28.4% of crashes involved some level of injury, including 104 with serious injuries, 830 with minor injuries, and 877 with possible injuries. A total of 30 separate crashes were fatal, leading to 31 fatalities, as a single crash can result in more than one death.
Severity is per crash event (most severe injury). 30 fatal crash events resulted in 31 persons killed.
Outcome by Severity (Crash Events)
Source: Connecticut Crash Data Repository · Open Data · 2020-06-01 to 2020-06-30 · KABCO injury classification scale
Severity Distribution (Crash Events)
Source: Connecticut Crash Data Repository · Open Data · 2020-06-01 to 2020-06-30 · Most severe injury per crash record
Road & Environmental Conditions
The vast majority of collisions occurred in ideal driving conditions. Data shows that 89.6% of crashes (5,810) happened in clear weather, 90.7% (5,881) on dry road surfaces, and 79% (5,120) during daylight hours. In contrast, 374 crashes were recorded during rain, and 555 occurred on wet roads.
Weather
Source: Connecticut Crash Data Repository · Open Data · 2020-06-01 to 2020-06-30 · Weather condition at time of crash
Lighting
Source: Connecticut Crash Data Repository · Open Data · 2020-06-01 to 2020-06-30 · Lighting condition field
Road Surface
Source: Connecticut Crash Data Repository · Open Data · 2020-06-01 to 2020-06-30 · Road surface condition field
Vehicles & Demographics
Among the 15,687 people involved in crashes, the 26-34 age group was the most represented, with 2,746 individuals. Analysis of the 12,122 vehicles involved shows that Honda was the most frequent make, with 1,333 vehicles. Toyota (1,114), Ford (1,064), Nissan (980), and Chevrolet (792) were the next most common makes involved in collisions.
Top Vehicle Makes (12,122 vehicles)
Source: Connecticut Crash Data Repository · Open Data · 2020-06-01 to 2020-06-30 · Vehicle unit records
1,272 persons with unknown or unrecorded age excluded from age chart.
Sex Distribution (14,530 persons with recorded sex)
Source: Connecticut Crash Data Repository · Open Data · 2020-06-01 to 2020-06-30 · Person-level records linked to crash events
Speed Limit Zones
The most crashes, 2,137 or 33% of the total, occurred in zones with a posted speed limit of 25 mph. The data also indicates a pattern where the percentage of crashes within a zone that prove fatal generally increases with the speed limit. For instance, 0.52% of crashes in 25 mph zones were fatal, a rate that rose to 1.1% in 40 mph zones and 1.5% in 50 mph zones.
Fatal crashes by zone: 1 mph: 1 of 755 (0.132%) · 25 mph: 11 of 2,137 (0.515%) · 30 mph: 3 of 531 (0.565%) · 40 mph: 4 of 364 (1.099%) · 45 mph: 3 of 253 (1.186%) · 50 mph: 2 of 133 (1.504%) · 55 mph: 1 of 447 (0.224%) · 65 mph: 4 of 300 (1.333%) · 99 mph: 1 of 35 (2.857%)
Source: Connecticut Crash Data Repository · Open Data · 2020-06-01 to 2020-06-30 · Posted speed limit at crash location
Top Counties
Crash distribution was heavily concentrated in three of Connecticut's eight counties. Fairfield County recorded the highest number of incidents with 1,876, followed by New Haven County with 1,858 and Hartford County with 1,588. Together, these three counties accounted for approximately 82% of all crashes statewide.
Top Counties
Source: Connecticut Crash Data Repository · Open Data · 2020-06-01 to 2020-06-30 · Crash-level records
Top Towns
Geographically, crash incidents were most frequent in the state's major urban centers. Hartford reported the highest number with 448 crashes, followed by New Haven with 445, Bridgeport with 419, and Waterbury with 360. These four cities collectively accounted for 1,672 crashes, representing approximately 25.8% of the statewide total.
Top Towns
Showing top 9 of 50 reported. 41 additional (2,595 total) not shown: Fairfield, New Britain, Stratford, East Hartford, Bristol, West Haven, Westport, West Hartford, Greenwich, Milford, Norwich, Wallingford, Manchester, New London, Middletown, North Haven, Southington, Windsor, Torrington, Trumbull, Newington, Enfield, Orange, Vernon, Groton, Bloomfield, East Haven, Darien, Newtown, New Milford, Shelton, Branford, Cheshire, Glastonbury, Berlin, Farmington, Windham, Madison, Waterford, Brookfield, Derby.
Source: Connecticut Crash Data Repository · Open Data · 2020-06-01 to 2020-06-30 · Crash-level records
Road Class
Minor Arterials were the site of the most crashes, with 1,832 incidents recorded. Principal Arterials followed with 1,353 crashes. Combined, limited-access highways, including Interstates (694) and Freeways/Expressways (381), accounted for 1,075 crashes, or 16.6% of the total.
Road Class
Source: Connecticut Crash Data Repository · Open Data · 2020-06-01 to 2020-06-30 · Crash-level records
Route System
When analyzed by the agency responsible for the roadway, crashes were split between state-maintained and local routes. State-maintained routes (including State, Interstate, and US Routes) accounted for 3,429 crashes. Local roads were the location for 2,939 crashes, indicating that state-maintained infrastructure carried 53.8% of the crash volume where the route system was known.
Route System
Source: Connecticut Crash Data Repository · Open Data · 2020-06-01 to 2020-06-30 · Crash-level records
Public vs Private Road
Of the 6,369 crashes where roadway ownership was recorded, the vast majority (6,112) occurred on public roads. A smaller but notable number of incidents, 257 crashes or 4.0% of the known total, took place on private property such as parking lots or private driveways.
Rural vs Urban
The data indicates a significant disparity in crash locations between urban and rural settings. Urban areas accounted for 5,668 crashes, while rural areas saw 277 incidents. This means that of crashes with a known location type, 4.7% occurred in rural areas.
Rural vs Urban
Source: Connecticut Crash Data Repository · Open Data · 2020-06-01 to 2020-06-30 · Crash-level records
Junction Type
A majority of crashes, 4,228 incidents, occurred at locations that were not at an intersection. Of the crashes that did happen at a junction, four-way intersections were the most common site with 1,149 crashes, followed by T-intersections with 953. In total, 34.7% of crashes with a known junction type occurred at an intersection.
Junction Type
Source: Connecticut Crash Data Repository · Open Data · 2020-06-01 to 2020-06-30 · Crash-level records
Run-off-Road / Fixed-Object Strikes
Among single-vehicle crashes involving a collision with a fixed object, the most frequently struck objects were categorized as 'Other Fixed Object' (184), such as walls or buildings, and guardrail faces (180). Utility poles and other support poles were also common hazards, with 129 and 105 strikes respectively. Collisions with poles and trees combined accounted for 312, or 30.6%, of all fixed-object crashes.
Run-off-Road / Fixed-Object Strikes
Showing top 9 of 22 reported. 13 additional (179 total) not shown: Traffic Sign Support, Embankment, Mailbox, Guardrail End, Ditch, Struck by Falling, Shifting Cargo or Anything Set in Motion by Motor Vehicle, Other Traffic Barrier, Bridge Overhead Structure, Impact Attenuator/Crash Cushion, Traffic Signal Support, Culvert, Bridge Pier or Support, Bridge Rail.
Source: Connecticut Crash Data Repository · Open Data · 2020-06-01 to 2020-06-30 · Crash-level records
Vehicle Type
Passenger cars were the most common vehicle type involved in crashes, accounting for 6,826 of the 12,122 vehicles. Sport Utility Vehicles were the second most frequent with 2,552 vehicles. Notably, medium or heavy trucks were involved in 326 incidents (2.7% of vehicles), and motorcycles were involved in 211 incidents (1.7% of vehicles).
Vehicle Type
Showing top 9 of 16 reported. 7 additional (107 total) not shown: Moped, Transit Bus, Other Bus, Motor Home, All Terrain Vehicle (ATV), School Bus, Low Speed Vehicle.
Source: Connecticut Crash Data Repository · Open Data · 2020-06-01 to 2020-06-30 · Vehicle unit records
Traffic Control Device
Analysis of traffic controls at crash locations shows that most incidents occurred where no control device was present, a condition noted for 64.4% of the vehicles involved. Locations with a traffic control signal accounted for 25.8% of vehicles in crashes. Stop signs were present for 7.6% of the vehicles involved in collisions.
Traffic Control Device
"Other" combines 6 smaller categories (49 records): Warning Sign (20), Marked Uncontrolled Crosswalk (18), School Zone Sign/Device (4), Pedestrian Button (4), Railway Crossing Device (2), Bicycle Detection (1).
Source: Connecticut Crash Data Repository · Open Data · 2020-06-01 to 2020-06-30 · Vehicle unit records
Vulnerable Road Users & Motorcycles
A total of 332 crashes involved either a vulnerable road user or a motorcyclist. Of these, motorcyclists were the most frequent group with 202 incidents. Combined, pedestrians (75) and bicyclists (55) were involved in 130 crashes, representing 39.2% of these specific incident types.
Driver Contributing Action
Excluding drivers with no noted contributing action, the most common factor cited was 'Followed Too Closely,' which was attributed to 1,560 drivers. The next most frequent actions were 'Failed to Keep in Proper Lane' (1,341 drivers) and 'Failed to Yield Right-of-Way' (661 drivers).
Driver Contributing Action
Showing top 9 of 19 reported. 10 additional (768 total) not shown: Operated Motor Vehicle in Inattentive, Careless, Negligent, or Erratic Manner, Improper Passing, 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., Wrong Side or Wrong Way, Disregarded Other Traffic Sign, Over-Correcting/Over-Steering, Disregarded Other Road Markings, Overtaking Cyclist.
Source: Connecticut Crash Data Repository · Open Data · 2020-06-01 to 2020-06-30 · 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 230 drivers were identified as being under the influence of medications, drugs, or alcohol. Additionally, 91 drivers were noted as asleep or fatigued, and 56 were described as emotional at the time of the crash.
Driver Condition
Source: Connecticut Crash Data Repository · Open Data · 2020-06-01 to 2020-06-30 · Person-level records linked to crash events
Pre-Crash Driver Action
The most common action drivers were taking immediately before a collision was proceeding straight ahead, which was the case for 5,563 vehicles, or 45.9% of the total. The second most frequent pre-crash action was being stopped in traffic, recorded for 1,113 vehicles. Turning left was the third most common action, noted for 972 vehicles.
Pre-Crash Driver Action
Showing top 9 of 16 reported. 7 additional (914 total) not shown: Entering Traffic Lane, Overtaking/Passing, Other, Leaving Traffic Lane, Making U-Turn, Wrong way (or Wrong Side), Overtaking/Passing Cyclist.
Source: Connecticut Crash Data Repository · Open Data · 2020-06-01 to 2020-06-30 · Vehicle unit records
Point of Impact
The front of the vehicle was the most common point of impact in collisions. A frontal impact, designated as Sector 12, was recorded for 3,372 vehicles, representing 27.8% of all impacts. The second most frequent impact location was the rear of the vehicle (Sector 6), which occurred in 2,088 instances or 17.2% of the total.
Point of Impact
"Other" combines 9 smaller categories (1,859 records): Sector 5 (South by SouthEast) in the 12-point Clock Diagram (422), Sector 8 (SouthWest) in the 12-point Clock Diagram (339), Sector 9 (West) in the 12-point Clock Diagram (331), Sector 3 (East) in the 12-point Clock Diagram (291), Sector 4 (SouthEast) in the 12-point Clock Diagram (273), Non-Collision (105), Top (64), Undercarriage (26), Cargo loss (8).
Source: Connecticut Crash Data Repository · Open Data · 2020-06-01 to 2020-06-30 · Vehicle unit records
Pedestrian/Cyclist Action
For the 127 pedestrians and cyclists whose actions were recorded, 62 were noted as having 'No Improper Action.' Among those with a contributing factor, the most common were 'In Roadway Improperly,' 'Dart/Dash,' and 'Failure to Yield Right-Of-Way,' each cited in 10 instances. 'Wrong-Way Riding or Walking' was noted for 9 individuals.
Pedestrian/Cyclist Action
Showing top 9 of 11 reported. 2 additional (3 total) not shown: Improper Passing, Inattentive (Talking, Eating, etc.).
Source: Connecticut Crash Data Repository · Open Data · 2020-06-01 to 2020-06-30 · Non-motorist records linked to crash events
Manner of Collision
The most prevalent type of collision was a front-to-rear crash, which accounted for 2,065 incidents, or 31.8% of all crashes during this period. Angle collisions were the second most common type, with 1,340 incidents, representing 20.7% of the total. Sideswipes in the same direction of travel occurred in 842 crashes.
Manner of Collision
"Other" combines 1 smaller categories (70 records): Rear to rear (70).
Source: Connecticut Crash Data Repository · Open Data · 2020-06-01 to 2020-06-30 · Crash-level records
Person Type
Of the 15,687 individuals involved in traffic incidents, the majority were drivers, accounting for 11,312 people or 72.1% of the total. Passengers made up the next largest group, with 3,313 individuals (21.1%). Vulnerable road users, including 81 pedestrians and 55 bicyclists, constituted approximately 0.9% of all persons involved.
Person Type
Source: Connecticut Crash Data Repository · Open Data · 2020-06-01 to 2020-06-30 · Crash-level records
Person Injury Severity
Across all 15,687 people involved in crashes, a total of 31 individuals sustained fatal injuries and 2,530 sustained some level of non-fatal injury. Combined, those killed or injured represent 16.3% of all participants. The largest group, 12,333 people, were recorded as having no injuries.
Person Injury Severity
Source: Connecticut Crash Data Repository · Open Data · 2020-06-01 to 2020-06-30 · Crash-level records
Occupant Safety Equipment
Among vehicle occupants where safety equipment use was documented, a total of 256 individuals were recorded as using no restraint system. This represents 2.1% of the 11,996 occupants with known restraint use. The most common restraint type used was a shoulder and lap belt, reported for 10,105 occupants.
Occupant Safety Equipment
"Other" combines 3 smaller categories (123 records): Other (60), Child Restraint, Type Unknown (33), Booster Seat (30).
Source: Connecticut Crash Data Repository · Open Data · 2020-06-01 to 2020-06-30 · Person-level records linked to crash events
Vehicles Per Crash
The data shows that two-vehicle collisions were the most common type, accounting for 4,681 incidents or 72.2% of all crashes. Single-vehicle crashes were the next most frequent, with 1,399 incidents, making up 21.6% of the total. The dataset also includes a small number of multi-vehicle pile-ups, with one crash involving as many as 8 vehicles.
Vehicles Per Crash
"Other" combines 1 smaller categories (1 records): 8 (1).
Source: Connecticut Crash Data Repository · Open Data · 2020-06-01 to 2020-06-30 · Crash-level records
Data Sources & Methodology
Primary Data Source
All crash data in this report is sourced from Connecticut Crash Data Repository, accessed programmatically via the Socrata 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: Socrata 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: 2020-06-01 through 2020-06-30
- Report generated: August 20, 2026
Data Coverage
- Reporting period: 2020-06-01 through 2020-06-30 (30 days)
- Geographic scope: connecticut, CT
- Total crash records analyzed: 6,486
- Total persons involved: 15,687
- Total vehicles involved: 12,122
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 2020." Published August 20, 2026. Reporting period: 2020-06-01 to 2020-06-30. Data source: Connecticut Crash Data Repository. Available at: https://thatcarhitme.com/crash-data/connecticut/statewide/june-2020-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 Repository ·
Period: 2020-06-01 – 2020-06-30
Generated: August 20, 2026 · All rights reserved
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