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ThatCarHitMe.com
An Injuria.ai Company
CRASH INTELLIGENCE REPORT · CONNECTICUT, CT · 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/2018-annual-report
Yearly Traffic Safety Analysis
3,908 CRASHES IN
CONNECTICUT, CT
2018
In 2018, Middlesex County recorded 3,908 traffic crashes, resulting in 15 fatalities and 1,204 injuries. The most common type of collision was front-to-rear, which accounted for 37% of all reported incidents. Analysis of temporal data indicates that crashes occurred most frequently on Fridays and during the 4 p.m. hour.
3,908
Total Crash Events
15
Persons Killed
1,204
Persons Injured
7.5%
Hit-and-Run Rate
Note: "Persons Killed" (15) counts individual fatalities across all crash events. "Fatal" in the severity table below (13) counts crash events where at least one fatality occurred. A single crash can result in multiple fatalities.
Source: Connecticut Crash Data · Csv Open Data · 2018-01-01 to 2018-12-31 · Aggregate counts from crash, person, and vehicle records
294
Hit-and-Run Crashes — 2018
A total of 294 crashes, representing 7.5% of all incidents in Middlesex County, were classified as hit-and-runs. This determination is based on the initial report filed by the responding law enforcement officer at the scene of the collision.
Vulnerable Road User Casualties
Motorists comprised the largest group of individuals killed or injured, with 15 fatalities and 1,162 injuries. No fatalities were recorded for pedestrians or bicyclists in this period. However, 31 pedestrians and 11 bicyclists sustained injuries in collisions.
0
Pedestrians Killed
0
Cyclists Killed
15
Motorists Killed
31
Pedestrians Injured
11
Cyclists Injured
1,162
Motorists Injured
Source: Connecticut Crash Data · Csv Open Data · 2018-01-01 to 2018-12-31 · Mode classified from person records (driver/passenger → motorist; pedestrian; bicyclist → cyclist; in-line skater / unspecified → other)
When Crashes Happen
Crash frequency in Middlesex County peaked on Fridays, with 628 incidents, and during the 4 p.m. hour, which saw 353 crashes. A significant majority of collisions, 2,797 or 71.6%, occurred during daylight hours. In contrast, 975 crashes, or approximately 25%, took place after dark.
Source: Connecticut Crash Data · Csv Open Data · 2018-01-01 to 2018-12-31 · Crash date field aggregated by weekday
Source: Connecticut Crash Data · Csv Open Data · 2018-01-01 to 2018-12-31 · Crash time field aggregated by hour (0-23)
Crash Severity Breakdown
The vast majority of crashes, 3,012 or 77.1%, resulted in no injuries. Injury-involved crashes, including those with serious, minor, or possible injuries, accounted for 883 incidents (22.6% of the total). There were 13 distinct fatal crashes, which resulted in a total of 15 fatalities, indicating at least one crash involved multiple deaths.
Severity is per crash event (most severe injury). 13 fatal crash events resulted in 15 persons killed.
Outcome by Severity (Crash Events)
Source: Connecticut Crash Data · Csv Open Data · 2018-01-01 to 2018-12-31 · KABCO injury classification scale
Severity Distribution (Crash Events)
Source: Connecticut Crash Data · Csv Open Data · 2018-01-01 to 2018-12-31 · Most severe injury per crash record
Road & Environmental Conditions
The majority of crashes occurred in ideal driving conditions, with 78.5% (3,069) happening in clear weather and 76.6% (2,993) on dry road surfaces. Most incidents (71.6%) also took place in daylight. Adverse conditions were less frequent, with 440 crashes occurring during rain and 659 on wet roads.
Weather
Source: Connecticut Crash Data · Csv Open Data · 2018-01-01 to 2018-12-31 · Weather condition at time of crash
Lighting
Source: Connecticut Crash Data · Csv Open Data · 2018-01-01 to 2018-12-31 · Lighting condition field
Road Surface
Source: Connecticut Crash Data · Csv Open Data · 2018-01-01 to 2018-12-31 · Road surface condition field
Vehicles & Demographics
Among all persons involved in crashes, the 26-34 age group was the most represented with 1,420 individuals, followed by the 45-54 age group with 1,284 individuals. The most frequent vehicle makes involved in collisions were Ford (744 vehicles), Toyota (732 vehicles), and Honda (591 vehicles).
Top Vehicle Makes (7,012 vehicles)
Source: Connecticut Crash Data · Csv Open Data · 2018-01-01 to 2018-12-31 · Vehicle unit records
535 persons with unknown or unrecorded age excluded from age chart.
Sex Distribution (8,675 persons with recorded sex)
Source: Connecticut Crash Data · Csv Open Data · 2018-01-01 to 2018-12-31 · Person-level records linked to crash events
Speed Limit Zones
The 35 mph speed zone saw the highest number of crashes with 698 incidents, representing 17.9% of the total. While crashes were most numerous in lower to moderate speed zones, the percentage of crashes that proved fatal was highest in zones with posted speeds of 50 mph (3.23% of crashes in that zone), 45 mph (0.98%), and 65 mph (0.89%).
Fatal crashes by zone: 25 mph: 2 of 654 (0.306%) · 35 mph: 1 of 698 (0.143%) · 40 mph: 1 of 378 (0.265%) · 45 mph: 3 of 305 (0.984%) · 50 mph: 1 of 31 (3.226%) · 65 mph: 5 of 560 (0.893%)
Source: Connecticut Crash Data · Csv Open Data · 2018-01-01 to 2018-12-31 · Posted speed limit at crash location
Top Towns
Within Middlesex County, the city of Middletown accounted for the largest share of collisions, with 1,558 crashes, representing 39.9% of the county's total. The next most frequent locations were Cromwell, with 537 crashes (13.7%), and Old Saybrook, with 355 crashes (9.1%).
Top Towns
Showing top 9 of 15 reported. 6 additional (504 total) not shown: East Haddam, Middlefield, Essex, Killingworth, Chester, Deep River.
Source: Connecticut Crash Data · Csv Open Data · 2018-01-01 to 2018-12-31 · Crash-level records
Road Class
Minor Arterial roads experienced the highest number of crashes, with 898 incidents recorded. Limited-access highways, including Interstates and Freeways/Expressways, collectively accounted for 1,020 crashes, or 27.6% of the incidents where road class was specified.
Road Class
Source: Connecticut Crash Data · Csv Open Data · 2018-01-01 to 2018-12-31 · Crash-level records
Route System
State-maintained roadways, which include State, Interstate, and US Routes, were the location for 2,732 crashes, or 72.8% of the total where the route system was identified. In contrast, locally maintained roads accounted for 1,019 crashes (27.2%).
Route System
Source: Connecticut Crash Data · Csv Open Data · 2018-01-01 to 2018-12-31 · Crash-level records
Public vs Private Road
Of the crashes where roadway ownership was documented, 3,715 occurred on public roads. A smaller but notable number of incidents, 108 crashes or 2.8% of the specified total, took place on private property such as parking lots or private drives.
Rural vs Urban
The vast majority of crashes, 3,382 incidents, occurred in areas classified as urban. Crashes in rural areas were significantly less common, accounting for 314 incidents, which represents 8.5% of the total where this classification was recorded.
Rural vs Urban
Source: Connecticut Crash Data · Csv Open Data · 2018-01-01 to 2018-12-31 · Crash-level records
Junction Type
A majority of crashes, 2,569 incidents, occurred at locations not at an intersection. For crashes that did happen at junctions, T-intersections (624 crashes) and four-way intersections (603 crashes) were the most common types, collectively accounting for 1,227 incidents.
Junction Type
Source: Connecticut Crash Data · Csv Open Data · 2018-01-01 to 2018-12-31 · 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, with 172 incidents. This was followed by utility poles or light supports (107 incidents) and trees (95 incidents). Combined, collisions with poles and trees accounted for 202 separate crashes.
Run-off-Road / Fixed-Object Strikes
Showing top 9 of 21 reported. 12 additional (144 total) not shown: Guardrail End, Traffic Sign Support, Concrete Traffic Barrier, Ditch, Fence, Bridge Rail, Bridge Overhead Structure, Struck by Falling, Shifting Cargo or Anything Set in Motion by Motor Vehicle, Other Traffic Barrier, Traffic Signal Support, Culvert, 88.
Source: Connecticut Crash Data · Csv Open Data · 2018-01-01 to 2018-12-31 · Crash-level records
Vehicle Type
Passenger cars were the most prevalent vehicle type involved in collisions, accounting for 3,987 vehicles. Sport Utility Vehicles (SUVs) were the second most common with 1,517 vehicles. The data also includes the involvement of 159 medium or heavy trucks, 61 motorcycles, and 50 buses.
Vehicle Type
Showing top 9 of 16 reported. 7 additional (64 total) not shown: School Bus, Transit Bus, Moped, Other Bus, Low Speed Vehicle, Motor Home, Golf Cart.
Source: Connecticut Crash Data · Csv Open Data · 2018-01-01 to 2018-12-31 · Vehicle unit records
Traffic Control Device
The most common circumstance for a vehicle involved in a crash was at a location with no traffic control device, which was the case for 4,433 vehicle involvements. For comparison, 1,654 vehicle involvements occurred at intersections with a traffic signal, and 736 were at locations controlled by a stop sign.
Traffic Control Device
"Other" combines 4 smaller categories (16 records): Other (7), Marked Uncontrolled Crosswalk (7), School Zone Sign/Device (1), Railway Crossing Device (1).
Source: Connecticut Crash Data · Csv Open Data · 2018-01-01 to 2018-12-31 · Vehicle unit records
Vulnerable Road Users & Motorcycles
Among incidents involving vulnerable road users, motorcyclists were the most frequent group with 60 crashes. There were also 33 crashes involving pedestrians and 13 involving bicyclists. Combined, traditional vulnerable road users (pedestrians and bicyclists) accounted for 46 of these incidents.
Driver Contributing Action
The most common contributing driver action was 'Followed Too Closely,' cited for 1,052 drivers. The next most frequent actions were 'Failed to Keep in Proper Lane,' noted for 753 drivers, and 'Failed to Yield Right-of-Way,' which was a factor for 379 drivers.
Driver Contributing Action
Showing top 9 of 19 reported. 10 additional (364 total) not shown: Ran Stop Sign, 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., 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 · 2018-01-01 to 2018-12-31 · Person-level records linked to crash events
Driver Condition
Among drivers for whom a condition other than 'Apparently Normal' was recorded, 141 were identified as being under the influence of medications, drugs, or alcohol. Additionally, 72 drivers were noted as being asleep or fatigued, and 29 were reported as ill or having fainted at the time of the crash.
Driver Condition
Source: Connecticut Crash Data · Csv Open Data · 2018-01-01 to 2018-12-31 · Person-level records linked to crash events
Pre-Crash Driver Action
The most common action for vehicles immediately prior to a crash was proceeding 'Straight Ahead,' which was the case for 3,373 vehicles, or 48.1% of the total. The second most frequent pre-crash maneuver was 'Stopped in Traffic,' recorded for 692 vehicles (9.9%).
Pre-Crash Driver Action
Showing top 9 of 17 reported. 8 additional (519 total) not shown: Turning Right, 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 · 2018-01-01 to 2018-12-31 · Vehicle unit records
Point of Impact
The front of the vehicle, designated as 'Sector 12,' was the most common initial point of impact, recorded in 2,224 instances. The rear of the vehicle, or 'Sector 6,' was the second most frequent impact location, involved in 1,464 crashes.
Point of Impact
"Other" combines 9 smaller categories (1,043 records): Sector 5 (South by SouthEast) in the 12-point Clock Diagram (211), Sector 9 (West) in the 12-point Clock Diagram (172), Sector 3 (East) in the 12-point Clock Diagram (159), Top (151), Sector 8 (SouthWest) in the 12-point Clock Diagram (143), Sector 4 (SouthEast) in the 12-point Clock Diagram (119), Non-Collision (57), Undercarriage (25), Cargo loss (6).
Source: Connecticut Crash Data · Csv Open Data · 2018-01-01 to 2018-12-31 · Vehicle unit records
Pedestrian/Cyclist Action
In incidents involving pedestrians where an action was recorded, 23 of 42 pedestrians were determined to have taken 'No Improper Action.' Among the improper actions cited, 'Failure to Obey Traffic Signs, Signals, or Officer' was noted 5 times, and 'Dart/Dash' into the roadway was recorded 3 times.
Pedestrian/Cyclist Action
Source: Connecticut Crash Data · Csv Open Data · 2018-01-01 to 2018-12-31 · Non-motorist records linked to crash events
Manner of Collision
Front-to-rear collisions were the most prevalent crash type, accounting for 1,445 incidents or 37% of all crashes. Angle collisions were the second most common type with 577 incidents (14.8%), followed by sideswipes in the same direction of travel with 396 incidents (10.1%).
Manner of Collision
"Other" combines 1 smaller categories (31 records): Rear to rear (31).
Source: Connecticut Crash Data · Csv Open Data · 2018-01-01 to 2018-12-31 · Crash-level records
Person Type
Drivers constituted the largest group of individuals involved in crashes, with 6,841 people, or 74.8% of the total. Passengers were the next largest group with 1,948 individuals (21.3%). The data also includes 34 pedestrians and 13 bicyclists.
Person Type
Source: Connecticut Crash Data · Csv Open Data · 2018-01-01 to 2018-12-31 · Crash-level records
Person Injury Severity
Of the 9,140 individuals involved in crashes, a total of 1,219 were either injured (1,204) or killed (15), representing 13.3% of all participants. The vast majority of people, 7,686 individuals, were not injured. Serious injuries were reported for 46 people.
Person Injury Severity
Source: Connecticut Crash Data · Csv Open Data · 2018-01-01 to 2018-12-31 · Crash-level records
Occupant Safety Equipment
The use of both a shoulder and lap belt was reported for 7,201 vehicle occupants, representing the most common form of safety equipment usage. Conversely, 123 occupants were recorded as not using any restraint system at the time of their crash.
Occupant Safety Equipment
"Other" combines 3 smaller categories (46 records): Lap Belt Only Used (18), Booster Seat (17), Child Restraint, Type Unknown (11).
Source: Connecticut Crash Data · Csv Open Data · 2018-01-01 to 2018-12-31 · Person-level records linked to crash events
Vehicles Per Crash
Two-vehicle collisions were the most common type of incident, accounting for 2,725 crashes or 69.7% of the total. Single-vehicle crashes were the next most frequent, with 1,010 incidents (25.8%). Crashes involving three or more vehicles were far less common.
Vehicles Per Crash
Source: Connecticut Crash Data · Csv Open Data · 2018-01-01 to 2018-12-31 · 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: 2018-01-01 through 2018-12-31
- Report generated: August 20, 2026
Data Coverage
- Reporting period: 2018-01-01 through 2018-12-31 (365 days)
- Geographic scope: connecticut, CT
- Total crash records analyzed: 3,908
- Total persons involved: 9,140
- Total vehicles involved: 7,012
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: 2018." Published August 20, 2026. Reporting period: 2018-01-01 to 2018-12-31. Data source: Connecticut Crash Data, Csv Open Data. Available at: https://thatcarhitme.com/crash-data/connecticut/statewide/2018-annual-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: 2018-01-01 – 2018-12-31
Generated: August 20, 2026 · All rights reserved
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