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
4,216 CRASHES IN
CONNECTICUT, CT
2018
In 2018, Litchfield County recorded 4,216 traffic crashes, resulting in 25 fatalities and 1,302 injuries. The most common type of collision was front-to-rear, accounting for 1,178 incidents, or 27.9% of all crashes with a specified collision manner.
4,216
Total Crash Events
25
Persons Killed
1,302
Persons Injured
8.8%
Hit-and-Run Rate
Note: "Persons Killed" (25) counts individual fatalities across all crash events. "Fatal" in the severity table below (23) 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
369
Hit-and-Run Crashes — 2018
Based on initial officer determinations, 369 crashes in 2018 were classified as hit-and-run incidents. This represents 8.8% of all crashes recorded in Litchfield County during this period.
Vulnerable Road User Casualties
Motor vehicle occupants represented the largest group of individuals killed or injured, with 24 fatalities and 1,270 injuries. In crashes involving vulnerable road users, one pedestrian was killed and 24 were injured. No cyclists were killed, but seven sustained injuries.
1
Pedestrians Killed
0
Cyclists Killed
24
Motorists Killed
0
Other Killed
24
Pedestrians Injured
7
Cyclists Injured
1,270
Motorists Injured
1
Other 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
Crashes in Litchfield County occurred most frequently on Fridays, which saw 758 incidents. The single busiest hour for crashes was the 5 p.m. hour with 354 events. Overall, a majority of collisions, 2,865 in total, happened during daylight hours.
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 majority of crashes, 76.6% (3,231 incidents), resulted in no injuries. The remaining collisions involved possible, minor, or serious injuries. There were 23 fatal crashes, which resulted in a total of 25 fatalities.
Severity is per crash event (most severe injury). 23 fatal crash events resulted in 25 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 occurred in ideal driving conditions, with 71.3% (3,005) happening in clear weather and 69.7% (2,939) on dry road surfaces. Similarly, 67.9% of all crashes (2,865) took place during daylight hours. Crashes in adverse conditions were less frequent, with 472 occurring during rain and 776 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
Analysis of persons involved in crashes shows the 26-34 age group was the most represented, with 1,404 individuals, followed by the 45-54 age group with 1,342. Among vehicles involved, the most frequent makes recorded were Ford (812 vehicles), Chevrolet (512 vehicles), and Honda (472 vehicles).
Top Vehicle Makes (7,108 vehicles)
Source: Connecticut Crash Data · Csv Open Data · 2018-01-01 to 2018-12-31 · Vehicle unit records
394 persons with unknown or unrecorded age excluded from age chart.
Sex Distribution (8,734 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 most crashes, 1,001 incidents or 23.7% 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 resulting in a fatality generally increased with higher speed limits. For instance, 0.2% of crashes in 25 mph zones were fatal, compared to 2.174% in 50 mph zones and 6.667% in 55 mph zones.
Fatal crashes by zone: 25 mph: 2 of 1,001 (0.2%) · 30 mph: 3 of 519 (0.578%) · 35 mph: 3 of 655 (0.458%) · 40 mph: 6 of 470 (1.277%) · 45 mph: 2 of 391 (0.512%) · 50 mph: 2 of 92 (2.174%) · 55 mph: 1 of 15 (6.667%) · 65 mph: 3 of 237 (1.266%)
Source: Connecticut Crash Data · Csv Open Data · 2018-01-01 to 2018-12-31 · Posted speed limit at crash location
Top Towns
The highest concentration of crashes within Litchfield County occurred in the city of Torrington, which accounted for 980 incidents, or 23.2% of the county's total. New Milford followed with 638 crashes (15.1%), and Watertown had the third-highest volume with 473 crashes (11.2%).
Top Towns
Showing top 9 of 26 reported. 17 additional (900 total) not shown: New Hartford, Salisbury, Barkhamsted, Washington, North Canaan, Roxbury, Sharon, Goshen, Kent, Norfolk, Morris, Bethlehem, Cornwall, Canaan, Colebrook, Bridgewater, Warren.
Source: Connecticut Crash Data · Csv Open Data · 2018-01-01 to 2018-12-31 · Crash-level records
Road Class
Crashes occurred most frequently on Principal Arterial roadways, which saw 1,504 incidents. This was followed by Minor Arterial roads (798 crashes) and Collector roads (721 crashes). Limited-access highways, classified as Freeway/Expressway, accounted for 336 crashes.
Road Class
Source: Connecticut Crash Data · Csv Open Data · 2018-01-01 to 2018-12-31 · Crash-level records
Route System
Of the crashes where the route system was identified, 1,545 occurred on State routes and 1,253 on US Routes. Combined, these state-maintained roadways accounted for 2,798 crashes. Local roads were the location for 1,265 crashes.
Route System
Source: Connecticut Crash Data · Csv Open Data · 2018-01-01 to 2018-12-31 · Crash-level records
Public vs Private Road
The vast majority of crashes, 3,999 incidents, occurred on public roads. A smaller number, 122 crashes, were recorded on private property such as parking lots or private drives, representing approximately 3.0% of crashes where ownership was specified.
Rural vs Urban
Crashes were more prevalent in urban areas, which accounted for 2,650 incidents. Rural areas saw 1,337 crashes, representing 33.5% of the total where the designation was recorded.
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 collisions, 3,048 incidents, occurred at locations not classified as intersections. Among crashes at junctions, T-intersections were the most common site with 621 crashes, followed by four-way intersections with 443. In total, 1,150 crashes occurred at an intersection.
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 vehicle striking a fixed object, the most commonly hit object was a guardrail face, with 246 incidents. This was followed by utility poles or light supports (175 incidents) and trees (149 incidents). Combined, collisions with poles and trees accounted for 324 crashes.
Run-off-Road / Fixed-Object Strikes
Showing top 9 of 22 reported. 13 additional (188 total) not shown: Traffic Sign Support, Ditch, Guardrail End, Fence, Struck by Falling, Shifting Cargo or Anything Set in Motion by Motor Vehicle, Bridge Rail, Concrete Traffic Barrier, Bridge Overhead Structure, Other Traffic Barrier, Traffic Signal Support, Culvert, Impact Attenuator/Crash Cushion, Bridge Pier or Support.
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 3,967 vehicles, followed by sport utility vehicles (1,528) and pickup trucks (795). Medium or heavy trucks were involved in 156 incidents, while motorcycles were involved in 75.
Vehicle Type
Showing top 9 of 17 reported. 8 additional (47 total) not shown: School Bus, Transit Bus, Moped, All Terrain Vehicle (ATV), Other Bus, Motor Home, Low Speed Vehicle, Golf Cart.
Source: Connecticut Crash Data · Csv Open Data · 2018-01-01 to 2018-12-31 · Vehicle unit records
Traffic Control Device
The majority of vehicles involved in crashes were at locations with no traffic control device, accounting for 5,209 vehicles. Locations with traffic signals were the site of crashes involving 1,212 vehicles, while stop signs were present for 521 vehicles.
Traffic Control Device
"Other" combines 4 smaller categories (20 records): Person (including flagger, law enforcement, crossing guard, etc.) (10), Marked Uncontrolled Crosswalk (8), School Zone Sign/Device (1), Pedestrian Button (1).
Source: Connecticut Crash Data · Csv Open Data · 2018-01-01 to 2018-12-31 · Vehicle unit records
Vulnerable Road Users & Motorcycles
Among crashes involving vulnerable road users or motorcyclists, motorcyclists were the largest group with 72 incidents. There were 28 crashes involving pedestrians and 10 involving bicyclists. Combined, pedestrians and bicyclists were involved in 38 crashes.
Driver Contributing Action
The most frequently cited driver action contributing to a crash was 'Followed Too Closely,' which was recorded for 919 drivers. 'Failed to Keep in Proper Lane' was the second most common action with 720 instances, followed by 'Ran Off Roadway' with 396.
Driver Contributing Action
Showing top 9 of 19 reported. 10 additional (517 total) not shown: Ran Stop Sign, Improper Passing, Swerved or Avoided Due to Wind, Slippery Surface, Motor Vehicle, Object, Non-Motorist in Roadway, etc., Ran Red Light, Over-Correcting/Over-Steering, Operated Motor Vehicle in Reckless or Aggressive Manner, Wrong Side or Wrong Way, Disregarded Other Traffic Sign, Overtaking Cyclist, Disregarded Other Road Markings.
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 contributing conditions were noted. Driving under the influence of medications, drugs, or alcohol was cited for 198 drivers. An additional 115 drivers were noted as being asleep or fatigued.
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 3,281 vehicles. The next most frequent situations involved vehicles that were 'Stopped in Traffic' (679 vehicles) or 'Negotiating a Curve' (672 vehicles).
Pre-Crash Driver Action
Showing top 9 of 17 reported. 8 additional (417 total) not shown: Entering Traffic Lane, Other, Changing Lanes, Leaving Traffic Lane, Wrong way (or Wrong Side), Making U-Turn, 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 (North) in the 12-point Clock Diagram,' was the most frequent point of impact, recorded in 2,028 instances. The rear of the vehicle, 'Sector 6 (South),' was the second most common impact point, with 1,196 occurrences.
Point of Impact
"Other" combines 9 smaller categories (1,037 records): Sector 2 (NorthEast) in the 12-point Clock Diagram (235), Sector 9 (West) in the 12-point Clock Diagram (195), Sector 3 (East) in the 12-point Clock Diagram (172), Sector 4 (SouthEast) in the 12-point Clock Diagram (148), Sector 8 (SouthWest) in the 12-point Clock Diagram (148), Non-Collision (81), Top (28), Undercarriage (25), Cargo loss (5).
Source: Connecticut Crash Data · Csv Open Data · 2018-01-01 to 2018-12-31 · Vehicle unit records
Pedestrian/Cyclist Action
Among the 37 instances where a pedestrian's action was recorded, 14 were noted as having 'No Improper Action.' The most cited improper actions included 'Failure to Yield Right-Of-Way' with 4 occurrences, and both 'In Roadway Improperly' and 'Failure to Obey Traffic Signs' with 3 occurrences each.
Pedestrian/Cyclist Action
Showing top 9 of 12 reported. 3 additional (3 total) not shown: Wrong-Way Riding or Walking, Use of Electronic Device, Not Visible (Dark Clothing, No Lighting, etc.).
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 common type of collision was 'Front to rear,' which accounted for 1,178 crashes, or 27.9% of incidents with a specified manner. Angle collisions were the second most frequent type, with 678 crashes, representing 16.1% of the total.
Manner of Collision
"Other" combines 1 smaller categories (28 records): Rear to rear (28).
Source: Connecticut Crash Data · Csv Open Data · 2018-01-01 to 2018-12-31 · Crash-level records
Person Type
Of the 9,527 individuals involved in crashes, the majority were drivers, accounting for 6,808 people or 71.5% of the total. Passengers made up the next largest group with 2,074 individuals (21.8%). The data also includes 29 pedestrians and 10 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 9,527 people involved in crashes, 25 individuals sustained fatal injuries, representing 0.26% of the total. A further 1,302 people, or 13.7%, sustained injuries classified as serious, minor, or possible. The remaining 7,862 individuals were recorded as having no 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 7,815 vehicle occupants with a recorded safety equipment status, 6,886 were using a shoulder and lap belt. A total of 497 occupants, or 6.4% of this group, were recorded as using no restraint system at the time of the crash.
Occupant Safety Equipment
"Other" combines 3 smaller categories (52 records): Other (22), Lap Belt Only Used (22), Child Restraint, Type Unknown (8).
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 most common incidents were two-vehicle collisions, accounting for 2,491 crashes. Single-vehicle crashes were also frequent, with 1,542 incidents representing 36.6% of the total. There were 161 crashes involving three vehicles and 21 crashes involving four vehicles.
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: September 10, 2026
Data Coverage
- Reporting period: 2018-01-01 through 2018-12-31 (365 days)
- Geographic scope: connecticut, CT
- Total crash records analyzed: 4,216
- Total persons involved: 9,527
- Total vehicles involved: 7,108
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 September 10, 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: September 10, 2026 · All rights reserved