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CRASH INTELLIGENCE REPORT · CONNECTICUT, CT · AUGUST 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/august-2018-report
Monthly Traffic Safety Analysis
9,448 CRASHES IN
CONNECTICUT, CT
AUGUST 2018
In August 2018, Connecticut recorded 9,448 motor vehicle crashes, resulting in 27 fatalities and 3,297 injuries. The data indicates that front-to-rear collisions were the most frequent type of crash, accounting for 38.9% of all incidents where the collision manner was specified. The majority of crashes, approximately 74.9%, did not result in any injuries.
9,448
Total Crash Events
27
Persons Killed
3,297
Persons Injured
11.5%
Hit-and-Run Rate
Note: "Persons Killed" (27) 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 · 2018-08-01 to 2018-08-31 · Aggregate counts from crash, person, and vehicle records
1,085
Hit-and-Run Crashes — August 2018
During this period, 1,085 crashes were classified as hit-and-run incidents, representing 11.5% of all total crashes. This classification is based on the initial determination made by the responding law enforcement officer at the scene of the collision.
Vulnerable Road User Casualties
Motor vehicle occupants constituted the largest group of individuals killed or injured, with 23 fatalities and 3,159 injuries. Among vulnerable road users, 4 pedestrians were killed and 95 were injured. While no bicyclists were killed, 43 sustained injuries.
4
Pedestrians Killed
0
Cyclists Killed
23
Motorists Killed
95
Pedestrians Injured
43
Cyclists Injured
3,159
Motorists Injured
Source: Connecticut Crash Data · Csv Open Data · 2018-08-01 to 2018-08-31 · Mode classified from person records (driver/passenger → motorist; pedestrian; bicyclist → cyclist; in-line skater / unspecified → other)
When Crashes Happen
Crash frequencies peaked late in the work week, with Thursday (1,678 crashes) and Friday (1,677 crashes) showing the highest volumes. The most common time for a crash was during the evening commute, with the 5 p.m. hour recording the highest number of incidents (861). Overall, 79.1% of all crashes occurred during daylight hours.
Source: Connecticut Crash Data · Csv Open Data · 2018-08-01 to 2018-08-31 · Crash date field aggregated by weekday
Source: Connecticut Crash Data · Csv Open Data · 2018-08-01 to 2018-08-31 · Crash time field aggregated by hour (0-23)
Crash Severity Breakdown
Of the 9,448 crashes, 74.9% (7,072 incidents) resulted in no injuries, while 25.1% involved at least a possible injury. A total of 27 crashes were fatal, representing 0.3% of all incidents. These 27 fatal crashes resulted in 27 total fatalities, indicating one death per fatal crash during this period.
Outcome by Severity (Crash Events)
Source: Connecticut Crash Data · Csv Open Data · 2018-08-01 to 2018-08-31 · KABCO injury classification scale
Severity Distribution (Crash Events)
Source: Connecticut Crash Data · Csv Open Data · 2018-08-01 to 2018-08-31 · Most severe injury per crash record
Road & Environmental Conditions
The vast majority of crashes occurred in ideal driving conditions. Data shows that 84.8% of incidents happened in clear weather, 85.6% on dry road surfaces, and 79.1% in daylight. Adverse conditions were less common, with 9.6% of crashes occurring during rain and 13.5% on wet roads.
Weather
Source: Connecticut Crash Data · Csv Open Data · 2018-08-01 to 2018-08-31 · Weather condition at time of crash
Lighting
Source: Connecticut Crash Data · Csv Open Data · 2018-08-01 to 2018-08-31 · Lighting condition field
Road Surface
Source: Connecticut Crash Data · Csv Open Data · 2018-08-01 to 2018-08-31 · Road surface condition field
Vehicles & Demographics
The most frequently involved vehicle makes in crashes were Honda (1,853), Toyota (1,710), and Ford (1,639). Among all individuals involved in crashes, the 26-34 age group was the most represented, accounting for 4,157 people, followed by the 35-44 age group with 3,348 people.
Top Vehicle Makes (18,117 vehicles)
Source: Connecticut Crash Data · Csv Open Data · 2018-08-01 to 2018-08-31 · Vehicle unit records
1,546 persons with unknown or unrecorded age excluded from age chart.
Sex Distribution (22,636 persons with recorded sex)
Source: Connecticut Crash Data · Csv Open Data · 2018-08-01 to 2018-08-31 · Person-level records linked to crash events
Speed Limit Zones
The most crashes occurred in 25 mph zones, which saw 2,796 incidents, or 29.6% of the total. While lower speed zones had more crashes, the percentage of crashes that were fatal was higher in faster zones. For instance, 0.94% of crashes in 65 mph zones were fatal, and 0.77% in 35 mph zones were fatal, compared to 0.22% in 25 mph zones.
Fatal crashes by zone: 25 mph: 6 of 2,796 (0.215%) · 30 mph: 2 of 747 (0.268%) · 35 mph: 8 of 1,042 (0.768%) · 40 mph: 3 of 557 (0.539%) · 45 mph: 1 of 361 (0.277%) · 50 mph: 2 of 273 (0.733%) · 65 mph: 5 of 533 (0.938%)
Source: Connecticut Crash Data · Csv Open Data · 2018-08-01 to 2018-08-31 · Posted speed limit at crash location
Top Counties
Crash distribution was concentrated in three counties, which together accounted for 82.5% of all incidents statewide. Fairfield County recorded the highest number of crashes with 2,756 (29.2%), followed by New Haven County with 2,620 (27.7%) and Hartford County with 2,420 (25.6%).
Top Counties
Source: Connecticut Crash Data · Csv Open Data · 2018-08-01 to 2018-08-31 · Crash-level records
Top Towns
The highest crash volumes were concentrated in the state's largest urban centers. Hartford led with 659 crashes (7.0% of the state total), followed closely by New Haven with 634 crashes (6.7%). Bridgeport (505 crashes), Waterbury (465 crashes), and Stamford (409 crashes) were also among the top five municipalities for crash incidents.
Top Towns
Showing top 9 of 50 reported. 41 additional (4,041 total) not shown: Stratford, New Britain, East Hartford, Meriden, Hamden, Manchester, Middletown, West Haven, West Hartford, Milford, Bristol, North Haven, Westport, Norwich, Wallingford, Trumbull, Windsor, New London, Southington, Torrington, Farmington, Orange, Newtown, Shelton, Wethersfield, Groton, Enfield, Vernon, Branford, Bloomfield, Newington, Darien, Waterford, Naugatuck, Stonington, East Haven, Berlin, Glastonbury, New Milford, Plainville, Cromwell.
Source: Connecticut Crash Data · Csv Open Data · 2018-08-01 to 2018-08-31 · Crash-level records
Road Class
Arterial roads accounted for the largest share of crashes, with minor arterials seeing 2,463 incidents and principal arterials seeing 2,018. Combined, these roadways were the location for 47.4% of all crashes. Limited-access highways, including Interstates (1,430) and Freeways/Expressways (700), collectively accounted for 22.5% of crashes.
Road Class
Source: Connecticut Crash Data · Csv Open Data · 2018-08-01 to 2018-08-31 · Crash-level records
Route System
An analysis of roadway jurisdiction shows that 58.6% of crashes occurred on state-maintained routes, which include State, Interstate, and U.S. Route systems, totaling 5,224 incidents. Local roads accounted for the remaining 41.4%, with 3,692 crashes. This distinction is relevant for determining the responsible maintenance authority.
Route System
Source: Connecticut Crash Data · Csv Open Data · 2018-08-01 to 2018-08-31 · Crash-level records
Public vs Private Road
Of the crashes where roadway ownership was documented, the overwhelming majority occurred on public roads. A total of 382 crashes, or 4.1% of the specified incidents, took place on private property such as parking lots or private drives.
Rural vs Urban
Crashes were predominantly an urban phenomenon during this period. Urban areas accounted for 8,451 crashes, while areas designated as rural saw 352 incidents. This means approximately 4.0% of crashes with a specified location type occurred in rural settings.
Rural vs Urban
Source: Connecticut Crash Data · Csv Open Data · 2018-08-01 to 2018-08-31 · Crash-level records
Junction Type
Most crashes did not occur at an intersection, with 6,297 incidents (66.6% of the total) happening at non-junction locations. For crashes that did happen at junctions, four-way intersections were the most common setting, accounting for 1,601 crashes, followed by T-intersections with 1,342 crashes. Combined, all types of intersections were the site of 32.9% of crashes.
Junction Type
Source: Connecticut Crash Data · Csv Open Data · 2018-08-01 to 2018-08-31 · Crash-level records
Run-off-Road / Fixed-Object Strikes
Among crashes involving a vehicle running off the road and striking a fixed object, the most commonly struck object was a guardrail face, which was hit 232 times. Other frequently hit objects included general fixed objects like walls or buildings (184) and utility poles or light supports (155). Combined, utility poles and trees accounted for 252 of these fixed-object collisions.
Run-off-Road / Fixed-Object Strikes
Showing top 9 of 22 reported. 13 additional (232 total) not shown: Cable Barrier, Traffic Sign Support, Fence, Guardrail End, Bridge Overhead Structure, Ditch, Struck by Falling, Shifting Cargo or Anything Set in Motion by Motor Vehicle, Other Traffic Barrier, Impact Attenuator/Crash Cushion, Bridge Rail, Traffic Signal Support, Bridge Pier or Support, Culvert.
Source: Connecticut Crash Data · Csv Open Data · 2018-08-01 to 2018-08-31 · Crash-level records
Vehicle Type
Passenger cars were the most common vehicle type involved in crashes, accounting for 10,731 of the 18,117 vehicles involved (59.2%). Sport Utility Vehicles were the next most frequent, with 3,864 involved (21.3%). Notably, 451 medium or heavy trucks, 168 motorcycles, and 125 buses were also involved in collisions.
Vehicle Type
Showing top 9 of 18 reported. 9 additional (178 total) not shown: Transit Bus, School Bus, Moped, Other Bus, All Terrain Vehicle (ATV), Motor Home, Low Speed Vehicle, Motor Coach, Golf Cart.
Source: Connecticut Crash Data · Csv Open Data · 2018-08-01 to 2018-08-31 · Vehicle unit records
Traffic Control Device
The majority of vehicles involved in crashes were at locations with no traffic control device present, accounting for 11,934 vehicles (65.9%). Locations with a traffic control signal were the next most common setting, involving 4,439 vehicles. Stop signs were present for 1,384 of the vehicles involved in crashes.
Traffic Control Device
"Other" combines 5 smaller categories (56 records): Warning Sign (32), Marked Uncontrolled Crosswalk (15), Pedestrian Button (6), School Zone Sign/Device (2), Railway Crossing Device (1).
Source: Connecticut Crash Data · Csv Open Data · 2018-08-01 to 2018-08-31 · Vehicle unit records
Vulnerable Road Users & Motorcycles
A total of 320 crashes involved either a motorcyclist or a vulnerable road user. Of these, motorcyclists were the largest group with 165 incidents. Pedestrians were involved in 101 crashes and bicyclists in 54, for a combined total of 155 crashes involving these vulnerable road users.
Driver Contributing Action
Among drivers for whom a contributing action was cited, the most common error was following too closely, attributed to 2,937 drivers (17.2%). The next most frequent actions were failing to keep in the proper lane (1,683 drivers) and failing to yield the right-of-way (938 drivers).
Driver Contributing Action
Showing top 9 of 19 reported. 10 additional (928 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., Disregarded Other Traffic Sign, Over-Correcting/Over-Steering, Wrong Side or Wrong Way, Disregarded Other Road Markings, Overtaking Cyclist.
Source: Connecticut Crash Data · Csv Open Data · 2018-08-01 to 2018-08-31 · Person-level records linked to crash events
Driver Condition
While most drivers were recorded as 'Apparently Normal,' several hundred were noted to have a contributing condition. The most cited condition was being under the influence of medications, drugs, or alcohol, which was recorded for 241 drivers. Additionally, 132 drivers were noted as asleep or fatigued, and 87 were described as emotional.
Driver Condition
Source: Connecticut Crash Data · Csv Open Data · 2018-08-01 to 2018-08-31 · Person-level records linked to crash events
Pre-Crash Driver Action
The most common pre-crash action for vehicles was moving straight ahead, which was the case for 7,993 vehicles, or 44.1% of the total. A significant number of vehicles were either stopped in traffic (2,080 vehicles, 11.5%) or in the process of slowing (1,402 vehicles, 7.7%) just prior to the collision.
Pre-Crash Driver Action
Showing top 9 of 17 reported. 8 additional (1,196 total) not shown: Entering Traffic Lane, Overtaking/Passing, Other, Leaving Traffic Lane, Making U-Turn, Wrong way (or Wrong Side), Overtaking/Passing Cyclist, Traveling in Bike Lane.
Source: Connecticut Crash Data · Csv Open Data · 2018-08-01 to 2018-08-31 · Vehicle unit records
Point of Impact
The front of the vehicle was the most common point of impact, with 'Sector 12 (North)' being struck in 5,089 instances, representing 28.1% of all impacts with a specified location. The rear of the vehicle ('Sector 6 (South)') was the second most frequent impact point, recorded in 3,774 cases (20.8%).
Point of Impact
"Other" combines 9 smaller categories (2,750 records): Sector 5 (South by SouthEast) in the 12-point Clock Diagram (614), Sector 9 (West) in the 12-point Clock Diagram (495), Sector 8 (SouthWest) in the 12-point Clock Diagram (466), Sector 3 (East) in the 12-point Clock Diagram (443), Sector 4 (SouthEast) in the 12-point Clock Diagram (426), Non-Collision (136), Top (129), Undercarriage (34), Cargo loss (7).
Source: Connecticut Crash Data · Csv Open Data · 2018-08-01 to 2018-08-31 · Vehicle unit records
Pedestrian/Cyclist Action
In incidents involving pedestrians, 'No Improper Action' was noted in 77 cases, representing 48.7% of the total. For cases where an improper action was recorded, the most frequent was 'In Roadway Improperly' with 19 instances, followed by 'Failure to Yield Right-Of-Way' with 15 instances and 'Dart/Dash' with 10.
Pedestrian/Cyclist Action
Showing top 9 of 13 reported. 4 additional (5 total) not shown: Disabled Vehicle Related (Working on, Pushing, Leaving/Approaching), Not Visible (Dark Clothing, No Lighting, etc.), Use of Electronic Device, Inattentive (Talking, Eating, etc.).
Source: Connecticut Crash Data · Csv Open Data · 2018-08-01 to 2018-08-31 · Non-motorist records linked to crash events
Manner of Collision
The most prevalent type of collision was 'Front to rear,' which accounted for 3,677 crashes, or 38.9% of all multi-vehicle incidents. Angle collisions were the second most common type, with 1,859 incidents (19.7%), followed by sideswipes in the same direction of travel at 1,270 incidents (13.4%).
Manner of Collision
"Other" combines 1 smaller categories (81 records): Rear to rear (81).
Source: Connecticut Crash Data · Csv Open Data · 2018-08-01 to 2018-08-31 · Crash-level records
Person Type
Of the 24,110 people involved in crashes, the majority were drivers, accounting for 17,121 individuals (71.0%). Passengers made up the next largest group with 5,779 individuals (24.0%). Pedestrians and bicyclists together comprised 168 of the total persons involved, representing 0.7% of all participants.
Person Type
Source: Connecticut Crash Data · Csv Open Data · 2018-08-01 to 2018-08-31 · Crash-level records
Person Injury Severity
Across all 24,110 individuals involved in crashes, 19,880 (82.5%) sustained no injuries. A total of 3,297 people were injured, representing 13.7% of all participants. Fatal injuries were recorded for 27 individuals, which is 0.11% of the total number of people involved.
Person Injury Severity
Source: Connecticut Crash Data · Csv Open Data · 2018-08-01 to 2018-08-31 · Crash-level records
Occupant Safety Equipment
Among vehicle occupants for whom safety equipment use was recorded, 16,845 (86.7%) were using a shoulder and lap belt. However, 319 occupants were documented as not using any form of restraint at the time of the crash.
Occupant Safety Equipment
"Other" combines 3 smaller categories (180 records): Other (86), Booster Seat (77), Child Restraint, Type Unknown (17).
Source: Connecticut Crash Data · Csv Open Data · 2018-08-01 to 2018-08-31 · Person-level records linked to crash events
Vehicles Per Crash
The majority of crashes involved two vehicles, with 7,266 incidents (76.9%) falling into this category. Single-vehicle crashes were the next most common, with 1,560 incidents (16.5%). Crashes involving three or more vehicles were less frequent, accounting for 6.6% of the total.
Vehicles Per Crash
Source: Connecticut Crash Data · Csv Open Data · 2018-08-01 to 2018-08-31 · 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: 2018-08-01 through 2018-08-31
- Report generated: August 20, 2026
Data Coverage
- Reporting period: 2018-08-01 through 2018-08-31 (31 days)
- Geographic scope: connecticut, CT
- Total crash records analyzed: 9,448
- Total persons involved: 24,110
- Total vehicles involved: 18,117
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: August 2018." Published August 20, 2026. Reporting period: 2018-08-01 to 2018-08-31. Data source: Connecticut Crash Data, Csv Open Data. Available at: https://thatcarhitme.com/crash-data/connecticut/statewide/august-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: 2018-08-01 – 2018-08-31
Generated: August 20, 2026 · All rights reserved
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