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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
28,787 CRASHES IN
CONNECTICUT, CT
2018
In 2018, Hartford County recorded 28,787 traffic crashes, resulting in 73 fatalities and 10,441 injuries. A significant portion of these incidents, 38.8%, were front-to-rear collisions, making it the most common type of crash. The data indicates that crashes were most frequent on Fridays and during the 5 p.m. evening commute hour.
28,787
Total Crash Events
73
Persons Killed
10,441
Persons Injured
12.6%
Hit-and-Run Rate
Note: "Persons Killed" (73) counts individual fatalities across all crash events. "Fatal" in the severity table below (68) counts crash events where at least one fatality occurred. A single crash can result in multiple fatalities.
Source: Connecticut Crash Data Repository · Open Data · 2018-01-01 to 2018-12-31 · Aggregate counts from crash, person, and vehicle records
3,620
Hit-and-Run Crashes — 2018
Based on initial officer determinations, 3,620 hit-and-run incidents were reported in Hartford County during this period. These crashes constitute 12.6% of all recorded collisions. This figure represents crashes where at least one driver involved left the scene without fulfilling their legal obligations.
Vulnerable Road User Casualties
In 2018, 73 people were killed and 10,441 were injured in Hartford County crashes. Motorists comprised the largest group of casualties with 48 fatalities and 9,985 injuries. Vulnerable road users were also significantly impacted, with 25 pedestrians killed and 351 injured, while no cyclists were killed and 101 were injured.
25
Pedestrians Killed
0
Cyclists Killed
48
Motorists Killed
0
Other Killed
351
Pedestrians Injured
101
Cyclists Injured
9,985
Motorists Injured
4
Other Injured
Source: Connecticut Crash Data Repository · 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 Hartford County peaked on Fridays, which saw 4,841 incidents, and during the 5 p.m. hour, with 2,847 crashes. Overall, a majority of collisions, 70.1%, occurred during daylight hours. The evening commute, particularly between 3 p.m. and 6 p.m., represented the most concentrated period for crashes throughout the day.
Source: Connecticut Crash Data Repository · Open Data · 2018-01-01 to 2018-12-31 · Crash date field aggregated by weekday
Source: Connecticut Crash Data Repository · 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, 73.9%, resulted in no injuries and were classified as property-damage-only events. Injury-involved crashes, including serious, minor, and possible injuries, accounted for 25.9% of the total. While there were 68 distinct fatal crashes, these incidents led to a total of 73 fatalities, as a single crash can result in multiple deaths.
Severity is per crash event (most severe injury). 68 fatal crash events resulted in 73 persons killed.
Outcome by Severity (Crash Events)
Source: Connecticut Crash Data Repository · Open Data · 2018-01-01 to 2018-12-31 · KABCO injury classification scale
Severity Distribution (Crash Events)
Source: Connecticut Crash Data Repository · Open Data · 2018-01-01 to 2018-12-31 · Most severe injury per crash record
Road & Environmental Conditions
A substantial majority of crashes occurred under favorable environmental conditions. Specifically, 77.6% of incidents happened in clear weather, 76.3% on dry road surfaces, and 70.1% during daylight hours. Crashes in adverse conditions were less frequent, with 3,724 incidents reported during rain and 5,561 on wet roads.
Weather
Source: Connecticut Crash Data Repository · Open Data · 2018-01-01 to 2018-12-31 · Weather condition at time of crash
Lighting
Source: Connecticut Crash Data Repository · Open Data · 2018-01-01 to 2018-12-31 · Lighting condition field
Road Surface
Source: Connecticut Crash Data Repository · Open Data · 2018-01-01 to 2018-12-31 · Road surface condition field
Vehicles & Demographics
Among all individuals involved in crashes, the 26-34 age group was the most represented, accounting for 13,044 people. The analysis of vehicle makes involved in collisions shows Honda as the most frequent, with 6,704 vehicles recorded. Toyota followed with 6,031 vehicles, and Ford with 4,994 vehicles.
Top Vehicle Makes (55,120 vehicles)
Source: Connecticut Crash Data Repository · Open Data · 2018-01-01 to 2018-12-31 · Vehicle unit records
5,324 persons with unknown or unrecorded age excluded from age chart.
Sex Distribution (69,595 persons with recorded sex)
Source: Connecticut Crash Data Repository · Open Data · 2018-01-01 to 2018-12-31 · Person-level records linked to crash events
Speed Limit Zones
The highest number of crashes, 5,382 incidents or 18.7% of the total, occurred in zones with a posted speed limit of 25 mph. However, zones with higher speed limits showed a greater percentage of fatal outcomes; 0.39% of crashes in 55 mph zones and 0.38% in 65 mph zones were fatal. This contrasts with the 0.35% fatal crash rate observed in 25 mph zones.
Fatal crashes by zone: 1 mph: 1 of 2,279 (0.044%) · 25 mph: 19 of 5,382 (0.353%) · 30 mph: 11 of 3,280 (0.335%) · 35 mph: 9 of 4,346 (0.207%) · 40 mph: 6 of 2,338 (0.257%) · 45 mph: 1 of 893 (0.112%) · 50 mph: 3 of 2,201 (0.136%) · 55 mph: 5 of 1,286 (0.389%) · 65 mph: 8 of 2,135 (0.375%) · 88 mph: 4 of 3,032 (0.132%)
Source: Connecticut Crash Data Repository · Open Data · 2018-01-01 to 2018-12-31 · Posted speed limit at crash location
Top Towns
The city of Hartford accounted for the largest share of crashes in the county, with 6,988 incidents representing 24.3% of the total. The next most affected municipalities were West Hartford with 2,018 crashes and New Britain with 1,906 crashes. Manchester and Bristol also reported high volumes, with 1,894 and 1,730 crashes respectively.
Top Towns
Showing top 9 of 29 reported. 20 additional (9,173 total) not shown: Wethersfield, Newington, Enfield, Berlin, Bloomfield, Plainville, Rocky Hill, Glastonbury, South Windsor, Avon, Simsbury, Windsor Locks, East Windsor, Canton, Suffield, Granby, Marlborough, East Granby, Burlington, Hartland.
Source: Connecticut Crash Data Repository · Open Data · 2018-01-01 to 2018-12-31 · Crash-level records
Road Class
Minor Arterial roads were the site of the most crashes, with 8,379 incidents recorded. Principal Arterial roads followed with 6,157 crashes. Combined, limited-access highways including Interstates (4,928) and Freeways/Expressways (1,583) accounted for 6,511 crashes, or 24.1% of collisions on classified roadways.
Road Class
Source: Connecticut Crash Data Repository · Open Data · 2018-01-01 to 2018-12-31 · Crash-level records
Route System
Crashes were more prevalent on state-maintained routes than on local roads. The combined total for Interstate, US, and State routes was 15,762 crashes, making up 57.0% of incidents on classified roadways. Local roads accounted for the remaining 43.0%, with 11,893 crashes.
Route System
Source: Connecticut Crash Data Repository · 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 overwhelming majority occurred on public roads. A total of 887 crashes, representing 3.1% of the classified total, took place on private roads, such as in parking lots or on private drives. The remaining 27,460 crashes occurred on public thoroughfares.
Rural vs Urban
The vast majority of crashes in Hartford County occurred in areas designated as Urban, totaling 26,608 incidents. Crashes in Rural areas were far less common, with 376 incidents recorded. This means that only 1.4% of crashes with a known designation happened in rural settings.
Rural vs Urban
Source: Connecticut Crash Data Repository · Open Data · 2018-01-01 to 2018-12-31 · Crash-level records
Junction Type
The most common location for a crash was not at an intersection, with 18,417 incidents occurring along road segments. However, a significant number of crashes, 10,328 or 35.9% of the total, did occur at or were related to an intersection. Four-way intersections were the most frequent type of junction for collisions, accounting for 5,872 crashes.
Junction Type
Source: Connecticut Crash Data Repository · 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 commonly struck object was a guardrail face, which was hit 657 times. Utility poles and light supports were the second most frequent object struck, with 550 incidents, followed by other fixed objects like walls or buildings at 508 incidents. Combined, striking a utility pole or a standing tree accounted for 774 crashes, or 20.3% of all fixed-object collisions.
Run-off-Road / Fixed-Object Strikes
Showing top 9 of 22 reported. 13 additional (552 total) not shown: Embankment, Cable Barrier, Fence, Struck by Falling, Shifting Cargo or Anything Set in Motion by Motor Vehicle, Other Traffic Barrier, Guardrail End, Ditch, Impact Attenuator/Crash Cushion, Bridge Rail, Traffic Signal Support, Bridge Overhead Structure, Culvert, Bridge Pier or Support.
Source: Connecticut Crash Data Repository · 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 32,831 of the 55,120 vehicles in collisions. Sport Utility Vehicles (SUVs) were the second most common with 11,519 vehicles. Medium to heavy trucks over 10,000 lbs were involved in 1,188 incidents, while motorcycles accounted for 237 vehicle involvements.
Vehicle Type
Showing top 9 of 18 reported. 9 additional (693 total) not shown: Transit Bus, Motorcycle, Other Bus, Moped, Motor Home, Motor Coach, Low Speed Vehicle, All Terrain Vehicle (ATV), Golf Cart.
Source: Connecticut Crash Data Repository · Open Data · 2018-01-01 to 2018-12-31 · Vehicle unit records
Traffic Control Device
Analysis of vehicles involved in crashes shows that 62.6% (34,518 vehicles) were in areas with no traffic control device present. Conversely, 28.7% of vehicles (15,828) were involved in crashes at locations with a traffic control signal. An additional 3,924 vehicles were involved in crashes where a stop sign was the primary traffic control.
Traffic Control Device
"Other" combines 6 smaller categories (94 records): Marked Uncontrolled Crosswalk (27), Warning Sign (23), Pedestrian Button (17), School Zone Sign/Device (14), Railway Crossing Device (12), Bicycle Detection (1).
Source: Connecticut Crash Data Repository · Open Data · 2018-01-01 to 2018-12-31 · Vehicle unit records
Vulnerable Road Users & Motorcycles
In crashes involving vulnerable road users or motorcyclists, pedestrians were the most frequent group, involved in 423 incidents. Motorcyclists were involved in 235 crashes, and bicyclists in 114. Combined, pedestrians and bicyclists accounted for 537 incidents, representing 69.6% of these specific crash types.
Driver Contributing Action
Among drivers for whom a contributing action was cited, 'Followed Too Closely' was the most common factor, attributed to 8,899 drivers. 'Failed to Keep in Proper Lane' was the second most frequent action, noted for 5,023 drivers. 'Failed to Yield Right-of-Way' was the third most common contributing action, cited for 2,770 drivers.
Driver Contributing Action
Showing top 9 of 19 reported. 10 additional (2,999 total) not shown: Operated Motor Vehicle in Inattentive, Careless, Negligent, or Erratic Manner, Ran Red Light, Improper Passing, 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 Repository · 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 impairing conditions were noted. A total of 784 drivers were determined to be under the influence of medications, drugs, or alcohol, representing 1.6% of drivers with a known condition. Additionally, 340 drivers were identified as being asleep or fatigued, and 283 were noted as being in an emotional state.
Driver Condition
Source: Connecticut Crash Data Repository · 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 involved was 'Straight Ahead,' which was the case for 24,933 vehicles, or 45.2% of the total. The second most frequent situation was a vehicle 'Stopped in Traffic,' accounting for 6,716 vehicles. 'Turning Left' was the third most common pre-crash maneuver, recorded for 4,324 vehicles.
Pre-Crash Driver Action
Showing top 9 of 17 reported. 8 additional (3,136 total) not shown: Overtaking/Passing, Entering Traffic Lane, Other, Leaving Traffic Lane, Making U-Turn, Wrong way (or Wrong Side), Overtaking/Passing Cyclist, Traveling in Bike Lane.
Source: Connecticut Crash Data Repository · Open Data · 2018-01-01 to 2018-12-31 · Vehicle unit records
Point of Impact
The front of the vehicle was the most common point of impact in collisions, with 16,600 vehicles (30.1%) struck in the 'Sector 12 (North)' area. The rear of the vehicle, 'Sector 6 (South)', was the second most frequent impact point, recorded for 11,450 vehicles (20.8%). These two locations represent the initial impact points for over half of the vehicles in crashes.
Point of Impact
"Other" combines 9 smaller categories (8,184 records): Sector 5 (South by SouthEast) in the 12-point Clock Diagram (1,870), Sector 9 (West) in the 12-point Clock Diagram (1,430), Sector 8 (SouthWest) in the 12-point Clock Diagram (1,385), Sector 3 (East) in the 12-point Clock Diagram (1,328), Sector 4 (SouthEast) in the 12-point Clock Diagram (1,271), Top (456), Non-Collision (340), Undercarriage (74), Cargo loss (30).
Source: Connecticut Crash Data Repository · Open Data · 2018-01-01 to 2018-12-31 · Vehicle unit records
Pedestrian/Cyclist Action
For the 537 pedestrians whose actions were recorded, 'No Improper Action' was the most frequent finding, noted in 241 cases. Among improper actions cited, 'Failure to Yield Right-Of-Way' and 'In Roadway Improperly' were the most common, each recorded 61 times. 'Dart/Dash' was the next most frequent action, contributing to 42 pedestrian-involved crashes.
Pedestrian/Cyclist Action
Showing top 9 of 14 reported. 5 additional (22 total) not shown: Disabled Vehicle Related (Working on, Pushing, Leaving/Approaching), Improper Turn/Merge, Entering/Exiting Parked/Standing Vehicle, Use of Electronic Device, Improper Passing.
Source: Connecticut Crash Data Repository · Open Data · 2018-01-01 to 2018-12-31 · Non-motorist records linked to crash events
Manner of Collision
The most prevalent type of collision was 'Front to rear,' accounting for 11,177 crashes, or 38.8% of all incidents. Angle collisions were the second most common manner of collision, with 5,881 incidents (20.4%). Sideswipes in the same direction of travel also occurred frequently, making up 14.4% of the total with 4,148 crashes.
Manner of Collision
"Other" combines 1 smaller categories (164 records): Rear to rear (164).
Source: Connecticut Crash Data Repository · Open Data · 2018-01-01 to 2018-12-31 · Crash-level records
Person Type
Drivers were the largest group of individuals involved in crashes, with 53,279 people, or 72.1% of the total. Passengers constituted the second-largest group, with 16,741 individuals (22.7%). Vulnerable road users, including 455 pedestrians and 118 bicyclists, made up a smaller but significant portion of the people involved.
Person Type
Source: Connecticut Crash Data Repository · Open Data · 2018-01-01 to 2018-12-31 · Crash-level records
Person Injury Severity
Of the 73,894 people involved in crashes, 81.9% (60,501 individuals) reported no injuries. A total of 10,441 people, or 14.1% of all persons involved, sustained some level of injury, ranging from possible to serious. Fatal injuries were recorded for 73 individuals, accounting for approximately 0.1% of all people involved in collisions.
Person Injury Severity
Source: Connecticut Crash Data Repository · Open Data · 2018-01-01 to 2018-12-31 · Crash-level records
Occupant Safety Equipment
Among vehicle occupants where safety equipment use was recorded, the vast majority utilized some form of restraint. However, 1,461 occupants were noted as using no restraint at all, representing 2.3% of this group. The most common form of protection was a shoulder and lap belt, used by 51,951 individuals.
Occupant Safety Equipment
"Other" combines 3 smaller categories (530 records): Booster Seat (230), Lap Belt Only Used (156), Child Restraint, Type Unknown (144).
Source: Connecticut Crash Data Repository · Open Data · 2018-01-01 to 2018-12-31 · Person-level records linked to crash events
Vehicles Per Crash
The most common type of crash involved two vehicles, with 22,122 such incidents accounting for 76.8% of the total. Single-vehicle crashes were the next most frequent, with 4,775 incidents making up 16.6% of all crashes. Multi-vehicle collisions involving three or more vehicles were less common, though two incidents involved as many as 10 vehicles.
Vehicles Per Crash
"Other" combines 1 smaller categories (2 records): 10 (2).
Source: Connecticut Crash Data Repository · 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 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: 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: 28,787
- Total persons involved: 73,894
- Total vehicles involved: 55,120
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 Repository. 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 Repository ·
Period: 2018-01-01 – 2018-12-31
Generated: August 21, 2026 · All rights reserved
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