If you're a data point in this report, call us.
We'll evaluate whether you have a case. Free, and no pressure.
ThatCarHitMe.com
An Injuria.ai Company
CRASH INTELLIGENCE REPORT · CONNECTICUT, CT · MAY 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/may-2018-report
Monthly Traffic Safety Analysis
9,785 CRASHES IN
CONNECTICUT, CT
MAY 2018
In May 2018, Connecticut recorded 9,785 motor vehicle crashes, resulting in 26 fatalities and 3,382 injuries. The most common type of collision was front-to-rear, accounting for 39.3% of all incidents. The majority of crashes, nearly 75%, did not result in any injuries.
9,785
Total Crash Events
26
Persons Killed
3,382
Persons Injured
10.6%
Hit-and-Run Rate
Note: "Persons Killed" (26) counts individual fatalities across all crash events. "Fatal" in the severity table below (25) counts crash events where at least one fatality occurred. A single crash can result in multiple fatalities.
Source: Connecticut Crash Data · Csv Open Data · 2018-05-01 to 2018-05-31 · Aggregate counts from crash, person, and vehicle records
1,040
Hit-and-Run Crashes — May 2018
Based on the initial determination of responding officers, 1,040 crashes in this period were classified as hit-and-run incidents. This represents 10.6% of all reported crashes for the month.
Vulnerable Road User Casualties
During this period, motorists comprised the largest group of casualties, with 21 fatalities and 3,254 injuries. Among vulnerable road users, there were 5 pedestrian fatalities and 97 pedestrian injuries. While no cyclists were killed, 31 sustained injuries in crashes.
5
Pedestrians Killed
0
Cyclists Killed
21
Motorists Killed
97
Pedestrians Injured
31
Cyclists Injured
3,254
Motorists Injured
Source: Connecticut Crash Data · Csv Open Data · 2018-05-01 to 2018-05-31 · Mode classified from person records (driver/passenger → motorist; pedestrian; bicyclist → cyclist; in-line skater / unspecified → other)
When Crashes Happen
Crash occurrences peaked on Thursdays, with 1,701 incidents reported. The most frequent time for crashes was the 5 PM hour, which saw 942 events, aligning with evening commute times. Overall, the data indicates a strong daytime pattern, with 81.1% of all crashes (7,935) occurring during daylight hours.
Source: Connecticut Crash Data · Csv Open Data · 2018-05-01 to 2018-05-31 · Crash date field aggregated by weekday
Source: Connecticut Crash Data · Csv Open Data · 2018-05-01 to 2018-05-31 · Crash time field aggregated by hour (0-23)
Crash Severity Breakdown
The vast majority of crashes, 74.8%, resulted in no injuries. Crashes involving injuries accounted for 25.2% of the total, distributed among possible (14.3%), minor (9.5%), and serious (1.1%) injury categories. There were 25 fatal crashes during this period, which resulted in a total of 26 fatalities.
Severity is per crash event (most severe injury). 25 fatal crash events resulted in 26 persons killed.
Outcome by Severity (Crash Events)
Source: Connecticut Crash Data · Csv Open Data · 2018-05-01 to 2018-05-31 · KABCO injury classification scale
Severity Distribution (Crash Events)
Source: Connecticut Crash Data · Csv Open Data · 2018-05-01 to 2018-05-31 · Most severe injury per crash record
Road & Environmental Conditions
The majority of crashes occurred in ideal driving conditions, with 80.8% happening in clear weather and 83.1% on dry road surfaces. Similarly, 81.1% of incidents took place during daylight hours. Crashes in adverse conditions included 1,210 incidents during rain and 1,569 on wet roads.
Weather
Source: Connecticut Crash Data · Csv Open Data · 2018-05-01 to 2018-05-31 · Weather condition at time of crash
Lighting
Source: Connecticut Crash Data · Csv Open Data · 2018-05-01 to 2018-05-31 · Lighting condition field
Road Surface
Source: Connecticut Crash Data · Csv Open Data · 2018-05-01 to 2018-05-31 · Road surface condition field
Vehicles & Demographics
Analysis of persons involved in crashes shows the 26-34 age group was the most represented, with 4,140 individuals. Among the 18,717 vehicles involved, the most frequent makes were Honda (1,853 vehicles), Ford (1,717), and Toyota (1,708). Other common makes included Nissan (1,396) and Chevrolet (972).
Top Vehicle Makes (18,717 vehicles)
Source: Connecticut Crash Data · Csv Open Data · 2018-05-01 to 2018-05-31 · Vehicle unit records
1,419 persons with unknown or unrecorded age excluded from age chart.
Sex Distribution (23,353 persons with recorded sex)
Source: Connecticut Crash Data · Csv Open Data · 2018-05-01 to 2018-05-31 · Person-level records linked to crash events
Speed Limit Zones
The highest number of crashes, 2,906 or 29.7% of the total, occurred in zones with a posted speed limit of 25 mph. Within this speed zone, 0.17% of crashes were fatal. The data indicates that the percentage of crashes resulting in a fatality tends to increase with the speed limit; for example, 0.43% of crashes in 35 mph zones were fatal, and this figure rose to 0.69% in 45 mph zones.
Fatal crashes by zone: 25 mph: 5 of 2,906 (0.172%) · 30 mph: 2 of 891 (0.224%) · 35 mph: 5 of 1,170 (0.427%) · 45 mph: 3 of 435 (0.69%) · 50 mph: 2 of 336 (0.595%) · 55 mph: 4 of 865 (0.462%) · 65 mph: 2 of 421 (0.475%) · 88 mph: 2 of 596 (0.336%)
Source: Connecticut Crash Data · Csv Open Data · 2018-05-01 to 2018-05-31 · Posted speed limit at crash location
Top Counties
Crash distribution across Connecticut counties shows a concentration in the state's most populous areas. Fairfield County recorded the highest number of crashes with 3,040 incidents, accounting for 31.1% of the statewide total. New Haven County followed with 2,775 crashes (28.4%), and Hartford County had 2,359 crashes (24.1%).
Top Counties
Source: Connecticut Crash Data · Csv Open Data · 2018-05-01 to 2018-05-31 · Crash-level records
Top Towns
Among Connecticut's municipalities, New Haven experienced the highest volume of traffic incidents with 681 crashes, representing 7.0% of the state's total for the month. Other cities with high crash counts include Waterbury with 514 crashes (5.3%), Hartford with 508 (5.2%), and both Stamford and Bridgeport with 474 crashes each.
Top Towns
Showing top 9 of 50 reported. 41 additional (4,138 total) not shown: Greenwich, West Hartford, Stratford, Bristol, West Haven, East Hartford, Meriden, Manchester, New Britain, Middletown, Westport, North Haven, Milford, Wallingford, Trumbull, Norwich, Newtown, Southington, Windsor, New London, Shelton, Orange, Wethersfield, Farmington, Enfield, Torrington, Newington, Berlin, Branford, Cheshire, Darien, Bloomfield, Groton, Vernon, East Haven, New Milford, Naugatuck, Glastonbury, Waterford, New Canaan, Plainville.
Source: Connecticut Crash Data · Csv Open Data · 2018-05-01 to 2018-05-31 · Crash-level records
Road Class
Arterial roads accounted for the majority of crashes, with 2,614 on Minor Arterials and 2,166 on Principal Arterials. Combined, these arterial routes were the location for over half of all incidents where road class was identified. Limited-access highways, including Interstates (1,340 crashes) and Freeways/Expressways (733 crashes), collectively represented 22.7% of these crashes.
Road Class
Source: Connecticut Crash Data · Csv Open Data · 2018-05-01 to 2018-05-31 · Crash-level records
Route System
Analysis by route system indicates that 58.7% of crashes occurred on state-maintained roadways, including State routes (3,193 crashes), Interstates (1,309), and US Routes (945). The remaining 41.3% of incidents took place on local roads, which fall under municipal jurisdiction.
Route System
Source: Connecticut Crash Data · Csv Open Data · 2018-05-01 to 2018-05-31 · Crash-level records
Public vs Private Road
Of the crashes where roadway ownership was documented, the vast majority (9,186) occurred on public roads. A total of 398 crashes, or 4.2% of this subset, took place on private property such as parking lots or private drives.
Rural vs Urban
The data shows a significant disparity in crash locations based on area type, with 8,737 crashes occurring in urban areas. Crashes in rural areas accounted for 4.2% of the total, with 383 incidents recorded.
Rural vs Urban
Source: Connecticut Crash Data · Csv Open Data · 2018-05-01 to 2018-05-31 · Crash-level records
Junction Type
The majority of crashes, 6,404, did not occur at an intersection. Of the 34.4% of crashes that did happen at a junction, the most common types were four-way intersections (1,581 crashes) and T-intersections (1,575 crashes).
Junction Type
Source: Connecticut Crash Data · Csv Open Data · 2018-05-01 to 2018-05-31 · Crash-level records
Run-off-Road / Fixed-Object Strikes
Among crashes involving a collision with a fixed object, the most frequently struck items were categorized as 'Other Fixed Object' (209 incidents), followed by guardrail faces (173) and utility poles or light supports (159). Collisions with poles and trees combined (utility poles, other posts, and standing trees) accounted for 34.2% of all fixed-object impacts.
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, Ditch, Struck by Falling, Shifting Cargo or Anything Set in Motion by Motor Vehicle, Bridge Overhead Structure, Other Traffic Barrier, Traffic Signal Support, Bridge Rail, Impact Attenuator/Crash Cushion, Bridge Pier or Support, Culvert.
Source: Connecticut Crash Data · Csv Open Data · 2018-05-01 to 2018-05-31 · Crash-level records
Vehicle Type
Passenger cars were the most common vehicle type involved in crashes, accounting for 11,239 of the vehicles. Sport utility vehicles were the second most frequent with 3,911, followed by pickup trucks with 1,233. Notably, medium or heavy trucks were involved in 445 incidents (2.4% of vehicles), while motorcycles were involved in 162.
Vehicle Type
Showing top 9 of 17 reported. 8 additional (210 total) not shown: School Bus, Transit Bus, Other Bus, Moped, Motor Home, Low Speed Vehicle, All Terrain Vehicle (ATV), Motor Coach.
Source: Connecticut Crash Data · Csv Open Data · 2018-05-01 to 2018-05-31 · Vehicle unit records
Traffic Control Device
Data on traffic controls present at crash locations indicates that a majority of involved vehicles (66.4%) were in areas with no control device. Approximately 24.4% of vehicles were at locations controlled by a traffic signal. Stop signs were present for 1,407 of the involved vehicles.
Traffic Control Device
"Other" combines 6 smaller categories (43 records): Person (including flagger, law enforcement, crossing guard, etc.) (17), Marked Uncontrolled Crosswalk (14), School Zone Sign/Device (4), Railway Crossing Device (3), Pedestrian Button (3), Bicycle Detection (2).
Source: Connecticut Crash Data · Csv Open Data · 2018-05-01 to 2018-05-31 · Vehicle unit records
Vulnerable Road Users & Motorcycles
Crashes in this period involved 304 vulnerable road users and motorcyclists. Motorcyclists were the largest group with 157 incidents. Combined, pedestrians (113 incidents) and bicyclists (34 incidents) accounted for 147 of these crashes, representing 48.4% of this specific group.
Driver Contributing Action
The most frequently cited driver action contributing to a crash was 'Followed Too Closely,' which was noted for 3,165 drivers, or 17.8% of all drivers. Other common actions included 'Failed to Keep in Proper Lane' (9.3% of drivers) and 'Failed to Yield Right-of-Way' (5.8% of drivers).
Driver Contributing Action
Showing top 9 of 19 reported. 10 additional (874 total) not shown: Improper Passing, Ran Stop Sign, 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, Wrong Side or Wrong Way, Disregarded Other Traffic Sign, Disregarded Other Road Markings, Overtaking Cyclist.
Source: Connecticut Crash Data · Csv Open Data · 2018-05-01 to 2018-05-31 · Person-level records linked to crash events
Driver Condition
While most drivers were recorded as 'Apparently Normal,' a number of adverse conditions were noted. The most common was driving under the influence of medications, drugs, or alcohol, attributed to 253 drivers. Additionally, 159 drivers were identified as asleep or fatigued, and 91 were noted as being in an emotional state.
Driver Condition
Source: Connecticut Crash Data · Csv Open Data · 2018-05-01 to 2018-05-31 · Person-level records linked to crash events
Pre-Crash Driver Action
The most common pre-crash action for vehicles was 'Straight Ahead,' accounting for 44.9% of all vehicle actions recorded. A significant number of vehicles were either 'Stopped in Traffic' (12.3%) or 'Slowing' (8.0%) immediately prior to the collision.
Pre-Crash Driver Action
Showing top 9 of 17 reported. 8 additional (1,148 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 · 2018-05-01 to 2018-05-31 · Vehicle unit records
Point of Impact
Analysis of the initial point of impact shows that the front of the vehicle was the most common area, with 5,368 impacts recorded at 'Sector 12 (North)'. This represents 28.7% of all vehicle impacts. The second most frequent impact point was the rear of the vehicle ('Sector 6 (South)'), which was struck in 3,988 instances, or 21.3% of the total.
Point of Impact
"Other" combines 9 smaller categories (2,769 records): Sector 5 (South by SouthEast) in the 12-point Clock Diagram (662), Sector 8 (SouthWest) in the 12-point Clock Diagram (469), Sector 9 (West) in the 12-point Clock Diagram (451), Sector 4 (SouthEast) in the 12-point Clock Diagram (448), Sector 3 (East) in the 12-point Clock Diagram (440), Non-Collision (125), Top (123), Undercarriage (31), Cargo loss (20).
Source: Connecticut Crash Data · Csv Open Data · 2018-05-01 to 2018-05-31 · Vehicle unit records
Pedestrian/Cyclist Action
Among the 136 pedestrians and cyclists for whom an action was recorded, 58 were determined to have taken 'No Improper Action'. The most common contributing action noted was 'In Roadway Improperly' with 22 instances. This was followed by 'Failure to Yield Right-Of-Way' (16 instances) and 'Dart/Dash' (11 instances).
Pedestrian/Cyclist Action
Showing top 9 of 12 reported. 3 additional (3 total) not shown: Inattentive (Talking, Eating, etc.), Improper Passing, Disabled Vehicle Related (Working on, Pushing, Leaving/Approaching).
Source: Connecticut Crash Data · Csv Open Data · 2018-05-01 to 2018-05-31 · Non-motorist records linked to crash events
Manner of Collision
The most prevalent type of crash was a front-to-rear collision, which accounted for 3,847 incidents, or 39.3% of all crashes. Angle collisions were the second most common manner of collision, with 1,883 incidents (19.2%), followed by sideswipes in the same direction at 1,346 incidents (13.8%).
Manner of Collision
"Other" combines 1 smaller categories (60 records): Rear to rear (60).
Source: Connecticut Crash Data · Csv Open Data · 2018-05-01 to 2018-05-31 · Crash-level records
Person Type
Of the 24,629 individuals involved in crashes, the majority were drivers, accounting for 17,823 people or 72.4% of the total. Passengers made up the next largest group with 5,589 individuals (22.7%). The data also includes 119 pedestrians and 34 bicyclists.
Person Type
Source: Connecticut Crash Data · Csv Open Data · 2018-05-01 to 2018-05-31 · Crash-level records
Person Injury Severity
Across all 24,629 people involved in crashes, a total of 3,382 individuals sustained some level of injury, representing 13.7% of all persons. This includes 130 serious injuries, 1,235 minor injuries, and 2,017 possible injuries. There were 26 fatalities recorded, accounting for 0.11% of all individuals involved.
Person Injury Severity
Source: Connecticut Crash Data · Csv Open Data · 2018-05-01 to 2018-05-31 · Crash-level records
Occupant Safety Equipment
Among vehicle occupants where safety equipment use was documented, the vast majority (17,241) were reported as using a shoulder and lap belt. There were 384 occupants recorded as using no restraint system, which constitutes 1.9% of this group. Additionally, various forms of child restraints were used for 674 occupants.
Occupant Safety Equipment
"Other" combines 3 smaller categories (178 records): Other (93), Booster Seat (52), Child Restraint, Type Unknown (33).
Source: Connecticut Crash Data · Csv Open Data · 2018-05-01 to 2018-05-31 · Person-level records linked to crash events
Vehicles Per Crash
The majority of incidents were two-vehicle crashes, totaling 7,579, while single-vehicle crashes accounted for 1,601 incidents (16.4% of the total). A small number of multi-vehicle pile-ups occurred, including one crash involving ten vehicles and another involving seven.
Vehicles Per Crash
"Other" combines 1 smaller categories (1 records): 7 (1).
Source: Connecticut Crash Data · Csv Open Data · 2018-05-01 to 2018-05-31 · 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: 2018-05-01 through 2018-05-31
- Report generated: August 20, 2026
Data Coverage
- Reporting period: 2018-05-01 through 2018-05-31 (31 days)
- Geographic scope: connecticut, CT
- Total crash records analyzed: 9,785
- Total persons involved: 24,629
- Total vehicles involved: 18,717
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: May 2018." Published August 20, 2026. Reporting period: 2018-05-01 to 2018-05-31. Data source: Connecticut Crash Data, Csv Open Data. Available at: https://thatcarhitme.com/crash-data/connecticut/statewide/may-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: 2018-05-01 – 2018-05-31
Generated: August 20, 2026 · All rights reserved
The data is step one. Get a Connecticut attorney on the line.
Call our intake team. We connect you to a vetted Connecticut personal injury attorney who calls you back within minutes. No phone tag. No voicemails.
Always free for accident victims.