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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
31,932 CRASHES IN
CONNECTICUT, CT
2018
In 2018, New Haven County recorded 31,932 traffic crashes, resulting in 86 fatalities and 11,351 injuries. A significant portion of these incidents were front-to-rear collisions, which accounted for 38.1% of all crashes where the manner of collision was determined. Most crashes occurred in clear weather and daylight conditions, with the afternoon commute on Fridays representing the peak time for incidents.
31,932
Total Crash Events
86
Persons Killed
11,351
Persons Injured
12.5%
Hit-and-Run Rate
Note: "Persons Killed" (86) counts individual fatalities across all crash events. "Fatal" in the severity table below (82) 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
4,001
Hit-and-Run Crashes — 2018
In New Haven County during 2018, there were 4,001 crashes classified as hit-and-run incidents. This represents 12.5% of all reported crashes for the period. The determination of a crash as a hit-and-run is based on the initial assessment by the responding law enforcement officer at the scene.
Vulnerable Road User Casualties
In 2018, 65 motorists were killed and 10,808 were injured in New Haven County crashes. Vulnerable road users also faced significant risk, with 20 pedestrians killed and 415 injured. Additionally, one cyclist was killed and 128 were injured during the same period.
20
Pedestrians Killed
1
Cyclists Killed
65
Motorists Killed
415
Pedestrians Injured
128
Cyclists Injured
10,808
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 New Haven County showed distinct temporal patterns in 2018. The highest number of crashes occurred on Fridays, with 5,362 incidents reported. The single busiest hour for crashes was the 5 PM weekday commute hour, which saw 2,973 crashes. Overall, crash volumes were lowest in the early morning hours between 2 AM and 4 AM, rising to a morning peak around 8 AM before reaching their highest levels during the afternoon commute.
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
Of the 31,932 crashes in New Haven County, the majority (74.4%) resulted in no apparent injuries. The remaining 25.6% of crashes involved possible, minor, serious, or fatal injuries. There were 82 distinct fatal crashes recorded, which resulted in a total of 86 fatalities, as a single crash event can involve more than one death.
Severity is per crash event (most severe injury). 82 fatal crash events resulted in 86 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 vast majority of crashes in New Haven County occurred in ideal driving conditions. Approximately 69.2% of incidents happened during daylight hours, 77.4% in clear weather, and 77.1% on dry road surfaces. Crashes in adverse conditions were less frequent, with rain being a factor in 3,854 incidents and wet roads present in 5,613 crashes.
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
Analysis of persons involved in crashes shows the 26-34 age group was the most represented, with 14,464 individuals. Among the 61,040 vehicles involved, the most frequent makes were Honda (5,468), Ford (5,087), and Toyota (4,816). These figures represent the makes of vehicles involved in collisions and do not reflect overall vehicle market share.
Top Vehicle Makes (61,040 vehicles)
Source: Connecticut Crash Data · Csv Open Data · 2018-01-01 to 2018-12-31 · Vehicle unit records
5,056 persons with unknown or unrecorded age excluded from age chart.
Sex Distribution (75,587 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 highest number of crashes, 12,067 or 37.8% of the total, occurred in zones with a posted speed limit of 25 mph. While lower speed zones had more crashes, the percentage of those crashes that were fatal tended to increase with the speed limit. For instance, 0.21% of crashes in 25 mph zones were fatal, whereas this figure rose to 0.67% in 45 mph zones and 0.66% in 65 mph zones.
Fatal crashes by zone: 25 mph: 25 of 12,067 (0.207%) · 30 mph: 5 of 2,011 (0.249%) · 35 mph: 13 of 2,972 (0.437%) · 40 mph: 6 of 1,488 (0.403%) · 45 mph: 9 of 1,354 (0.665%) · 50 mph: 3 of 559 (0.537%) · 55 mph: 9 of 3,217 (0.28%) · 65 mph: 8 of 1,219 (0.656%) · 88 mph: 2 of 649 (0.308%)
Source: Connecticut Crash Data · Csv Open Data · 2018-01-01 to 2018-12-31 · Posted speed limit at crash location
Top Towns
Within New Haven County, crash incidents were most concentrated in the city of New Haven, which accounted for 7,369 crashes, or 23.1% of the county's total. The next most frequent locations were Waterbury with 6,128 crashes (19.2%) and Hamden with 2,122 crashes (6.6%). Together, these three municipalities represented nearly half of all crashes in the county.
Top Towns
Showing top 9 of 27 reported. 18 additional (7,095 total) not shown: Branford, Cheshire, Naugatuck, East Haven, Southbury, Seymour, Guilford, Derby, Ansonia, Woodbridge, Middlebury, Madison, Wolcott, North Branford, Oxford, Prospect, Beacon Falls, Bethany.
Source: Connecticut Crash Data · Csv Open Data · 2018-01-01 to 2018-12-31 · Crash-level records
Road Class
Crashes occurred most frequently on Minor Arterial roads, with 8,879 incidents, followed by Principal Arterials with 7,028. Combined, limited-access highways such as Interstates (4,138 crashes) and Freeways/Expressways (2,832 crashes) accounted for 6,970 crashes, representing 21.8% of the total 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
Analysis of roadway jurisdiction shows a split between state and local responsibility. State-maintained routes, including State, Interstate, and US Routes, were the location for 16,424 crashes. This accounts for 53.8% of incidents with route system data, while local roads accounted for the remaining 14,082 crashes.
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, the vast majority occurred on public roads (30,059). A notable subset of 1,364 crashes, or 4.3% of the total, took place on private property such as in parking lots or on private drives.
Rural vs Urban
The data indicates that crashes in New Haven County are overwhelmingly an urban phenomenon, with 29,224 incidents occurring in urban-designated areas. In contrast, only 181 crashes, representing just 0.6% of the total where this was specified, were recorded in rural areas.
Rural vs Urban
Source: Connecticut Crash Data · Csv Open Data · 2018-01-01 to 2018-12-31 · Crash-level records
Junction Type
The majority of crashes, 21,034 in total, occurred at locations not classified as intersections. However, a significant number of incidents, 10,858 or 34.1% of the total, happened at junctions. Among these, four-way intersections were the most common crash site with 5,584 incidents, followed by T-intersections with 4,655.
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 objects were guardrail faces (758 incidents), other fixed objects like walls or buildings (722), and utility poles or light supports (520). Collisions with poles and trees were common, with utility poles (520), other posts (377), and trees (295) collectively being struck 1,192 times.
Run-off-Road / Fixed-Object Strikes
Showing top 9 of 22 reported. 13 additional (635 total) not shown: Cable Barrier, Embankment, Traffic Sign Support, Guardrail End, Ditch, Other Traffic Barrier, Bridge Overhead Structure, Struck by Falling, Shifting Cargo or Anything Set in Motion by Motor Vehicle, Bridge Rail, Impact Attenuator/Crash Cushion, Traffic Signal Support, Bridge Pier or Support, Culvert.
Source: Connecticut Crash Data · Csv Open Data · 2018-01-01 to 2018-12-31 · Crash-level records
Vehicle Type
Passenger cars were the most common vehicle type involved in crashes, accounting for 37,700 of the 61,040 vehicles recorded. Sport Utility Vehicles were the next most frequent with 12,418 involved. Notably, 1,417 medium or heavy trucks, 546 buses of various types, and 326 motorcycles were also involved in collisions.
Vehicle Type
Showing top 9 of 18 reported. 9 additional (686 total) not shown: School Bus, Transit Bus, Other Bus, Moped, Low Speed Vehicle, Motor Coach, All Terrain Vehicle (ATV), Motor Home, Golf Cart.
Source: Connecticut Crash Data · Csv Open Data · 2018-01-01 to 2018-12-31 · Vehicle unit records
Traffic Control Device
Based on the traffic control devices present at crash locations, vehicles were most often involved in crashes where no control device was present (39,313 vehicles). Locations with traffic signals accounted for 15,566 involved vehicles, while stop signs were present for 4,819 vehicles. This indicates a large number of incidents occur at uncontrolled locations or mid-block.
Traffic Control Device
"Other" combines 6 smaller categories (111 records): Person (including flagger, law enforcement, crossing guard, etc.) (52), Marked Uncontrolled Crosswalk (26), Railway Crossing Device (15), Pedestrian Button (12), School Zone Sign/Device (5), Bicycle Detection (1).
Source: Connecticut Crash Data · Csv Open Data · 2018-01-01 to 2018-12-31 · Vehicle unit records
Vulnerable Road Users & Motorcycles
A total of 924 crashes involved either a vulnerable road user or a motorcyclist. Of these, pedestrians were involved in 447 incidents and bicyclists in 164. Combined, pedestrians and bicyclists accounted for 611 crashes, representing 66.1% of these specific incident types.
Driver Contributing Action
The most common contributing driver action cited in crashes was 'Followed Too Closely,' which was noted for 9,748 drivers, or 17.0% of all drivers. This was followed by 'Failed to Keep in Proper Lane' (6,156 drivers, 10.7%) and 'Failed to Yield Right-of-Way' (3,568 drivers, 6.2%). These actions represent the leading driver-related factors in reported collisions.
Driver Contributing Action
Showing top 9 of 19 reported. 10 additional (2,910 total) not shown: Operated Motor Vehicle in Inattentive, Careless, Negligent, or Erratic Manner, Ran Stop Sign, Ran Red Light, Swerved or Avoided Due to Wind, Slippery Surface, Motor Vehicle, Object, Non-Motorist in Roadway, etc., Operated Motor Vehicle in Reckless or Aggressive Manner, 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 · 2018-01-01 to 2018-12-31 · Person-level records linked to crash events
Driver Condition
While most drivers were recorded as 'Apparently Normal,' several adverse conditions were noted. A total of 663 drivers (1.2% of all drivers) were suspected of being under the influence of medications, drugs, or alcohol. Additionally, 379 drivers were noted as being asleep or fatigued, and 284 were described as emotional.
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 pre-crash action for vehicles was 'Straight Ahead,' accounting for 27,108 vehicles or 44.4% of the total. A significant number of vehicles were either 'Stopped in Traffic' (7,080) or 'Slowing' (4,388) immediately prior to the collision. Turning left was also a common pre-crash maneuver, noted for 4,359 vehicles.
Pre-Crash Driver Action
Showing top 9 of 17 reported. 8 additional (4,466 total) not shown: Negotiating a Curve, 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 most frequent point of impact on vehicles was the front, which was struck in 17,437 instances, representing 28.6% of involved vehicles. The second most common impact point was the rear, with 12,015 instances. These two locations account for nearly half of all initial impacts.
Point of Impact
"Other" combines 9 smaller categories (9,016 records): Sector 5 (South by SouthEast) in the 12-point Clock Diagram (2,114), Sector 9 (West) in the 12-point Clock Diagram (1,618), Sector 8 (SouthWest) in the 12-point Clock Diagram (1,606), Sector 4 (SouthEast) in the 12-point Clock Diagram (1,471), Sector 3 (East) in the 12-point Clock Diagram (1,336), Non-Collision (358), Top (349), Undercarriage (128), Cargo loss (36).
Source: Connecticut Crash Data · Csv Open Data · 2018-01-01 to 2018-12-31 · Vehicle unit records
Pedestrian/Cyclist Action
While 247 pedestrians were determined to have taken 'No Improper Action,' several contributing actions were recorded for others. The most common improper action was being in the roadway improperly, noted in 69 cases. Other frequent actions included 'Failure to Yield Right-Of-Way' (58 cases) and 'Dart/Dash' into the road (47 cases).
Pedestrian/Cyclist Action
Showing top 9 of 14 reported. 5 additional (18 total) not shown: Improper Turn/Merge, Inattentive (Talking, Eating, etc.), Improper Passing, Disabled Vehicle Related (Working on, Pushing, Leaving/Approaching), Use of Electronic Device.
Source: Connecticut Crash Data · Csv Open Data · 2018-01-01 to 2018-12-31 · Non-motorist records linked to crash events
Manner of Collision
The most prevalent type of crash was 'Front to rear,' accounting for 12,161 incidents or 38.1% of all collisions with a specified manner. The second most common type was an 'Angle' collision, with 6,322 incidents (19.8%). 'Sideswipe, same direction' crashes were also frequent, occurring 4,653 times.
Manner of Collision
"Other" combines 1 smaller categories (245 records): Rear to rear (245).
Source: Connecticut Crash Data · Csv Open Data · 2018-01-01 to 2018-12-31 · Crash-level records
Person Type
Of the 80,483 individuals involved in crashes, the vast majority were drivers (57,248) or passengers (19,086). These two groups make up 71.1% and 23.7% of all persons, respectively. The records also include 556 pedestrians and 169 bicyclists.
Person Type
Source: Connecticut Crash Data · Csv Open Data · 2018-01-01 to 2018-12-31 · Crash-level records
Person Injury Severity
Across all 80,483 people involved in crashes, 11,351 individuals sustained some level of injury, representing 14.1% of all participants. A total of 86 individuals, or 0.1% of all persons involved, suffered fatal injuries. The largest group, 66,026 people, had no reported injuries.
Person Injury Severity
Source: Connecticut Crash Data · Csv Open Data · 2018-01-01 to 2018-12-31 · Crash-level records
Occupant Safety Equipment
Among motor vehicle occupants where safety equipment use was recorded, 1,318 individuals were reported as not using any restraint system. This represents approximately 2.2% of occupants with known restraint use. The overwhelming majority, 52,586 people, were recorded as using both a shoulder and lap belt.
Occupant Safety Equipment
"Other" combines 3 smaller categories (370 records): Booster Seat (168), Other (135), Child Restraint, Type Unknown (67).
Source: Connecticut Crash Data · Csv Open Data · 2018-01-01 to 2018-12-31 · Person-level records linked to crash events
Vehicles Per Crash
The vast majority of crashes, 24,656 or 77.2% of the total, involved two vehicles. Single-vehicle crashes were the next most common category, with 5,315 incidents, accounting for 16.6% of all crashes. Multi-vehicle pile-ups involving more than three vehicles were rare, with only 274 such incidents recorded.
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 21, 2026
Data Coverage
- Reporting period: 2018-01-01 through 2018-12-31 (365 days)
- Geographic scope: connecticut, CT
- Total crash records analyzed: 31,932
- Total persons involved: 80,483
- Total vehicles involved: 61,040
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 21, 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 21, 2026 · All rights reserved
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