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Yearly Traffic Safety Analysis

114,156 CRASHES IN
CONNECTICUT, CT
2018

In 2018, Connecticut recorded 114,156 motor vehicle crashes, resulting in 299 fatalities and 37,585 injuries. The most common type of collision was front-to-rear, accounting for 42,221 incidents, or 37% of all crashes. A significant majority of crashes, 76%, resulted in no injuries.

114,156

Total Crash Events

299

Persons Killed

37,585

Persons Injured

11.4%

Hit-and-Run Rate

Note: "Persons Killed" (299) counts individual fatalities across all crash events. "Fatal" in the severity table below (281) 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

13,024

Hit-and-Run Crashes — 2018

Based on initial officer determinations, 13,024 crashes in 2018 were classified as hit-and-run incidents. This represents 11.4% of all crashes recorded during the period. This classification is subject to change as investigations proceed.

Vulnerable Road User Casualties

In 2018, there were 299 total fatalities and 37,585 injuries from traffic crashes. Motorists comprised the largest group of fatalities with 235 deaths and 35,923 injuries. Vulnerable road users also faced significant risk, with 63 pedestrians killed and 1,304 injured, along with one cyclist killed and 353 injured.

63

Pedestrians Killed

1

Cyclists Killed

235

Motorists Killed

0

Other Killed

1,304

Pedestrians Injured

353

Cyclists Injured

35,923

Motorists Injured

5

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

Crash frequencies peaked on Fridays, with 19,122 incidents, and during the 5 p.m. hour, which saw 10,394 crashes. The data indicates that most crashes occurred in daylight, with 79,456 incidents (69.6%) happening under these conditions. Crashes in dark conditions, including both lighted and unlighted roads, accounted for 30,447 incidents.

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, 76% (86,755 incidents), resulted in no reported injuries. Injury-related crashes accounted for 23.7% of the total, encompassing serious (1%), minor (9.1%), and possible injuries (13.6%). There were 281 distinct fatal crashes, which resulted in a total of 299 fatalities, as a single crash can involve more than one death.

Severity is per crash event (most severe injury). 281 fatal crash events resulted in 299 persons killed.

Outcome by Severity (Crash Events)

Fatal281fatal crashes0.2%
Serious Injury1,126serious injury crashes1%
Minor Injury10,443minor injury crashes9.1%
Possible Injury15,551possible injury crashes13.6%
No Injury86,755no injury crashes76%

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

A substantial majority of crashes occurred in ideal driving conditions. Specifically, 77.1% of crashes (88,024) happened in clear weather, 76.3% (87,063) on dry road surfaces, and 69.6% (79,456) during daylight hours. Adverse conditions were less frequent, with 13,839 crashes in rain and 20,592 on wet roads.

Weather

Clear88,024 (77.6%)
Rain13,839 (12.2%)
Cloudy6,642 (5.9%)
Snow3,037 (2.7%)
Blowing Snow636 (0.6%)
Freezing Rain or Freezing Drizzle588 (0.5%)
Fog, Smog, Smoke397 (0.3%)
Sleet or Hail127 (0.1%)
Other125 (0.1%)
Severe Crosswinds39 (0.0%)

Source: Connecticut Crash Data · Csv Open Data · 2018-01-01 to 2018-12-31 · Weather condition at time of crash

Lighting

Daylight79,456 (70.2%)
Dark-Lighted23,378 (20.6%)
Dark-Not Lighted7,069 (6.2%)
Dusk1,748 (1.5%)
Dawn853 (0.8%)
Dark-Unknown Lighting548 (0.5%)
Other183 (0.2%)

Source: Connecticut Crash Data · Csv Open Data · 2018-01-01 to 2018-12-31 · Lighting condition field

Road Surface

Dry87,063 (76.7%)
Wet20,592 (18.1%)
Snow3,202 (2.8%)
Ice / Frost1,388 (1.2%)
Slush791 (0.7%)
Sand121 (0.1%)
Mud, Dirt, Gravel119 (0.1%)
Other107 (0.1%)
Standing Water66 (0.1%)
Moving Water58 (0.1%)

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 48,383 individuals. The most common vehicle makes involved in collisions were Honda (21,681), Toyota (20,102), and Ford (20,008). These figures represent the frequency of involvement in crashes and not the manufacturer's market share.

Top Vehicle Makes (215,793 vehicles)

1
HONDA21,681 (10%)
2
TOYOTA20,102 (9.3%)
3
FORD20,008 (9.3%)
4
NISSAN16,099 (7.5%)
5
CHEVROLET11,732 (5.4%)
6
JEEP8,606 (4%)
7
SUBARU7,913 (3.7%)
8
HYUNDAI6,911 (3.2%)
9
DODGE5,173 (2.4%)
10
BMW4,359 (2%)

Source: Connecticut Crash Data · Csv Open Data · 2018-01-01 to 2018-12-31 · Vehicle unit records

18,203 persons with unknown or unrecorded age excluded from age chart.

Sex Distribution (265,894 persons with recorded sex)

Male145,855 (54.9%)
Female120,038 (45.1%)
01 (0.0%)

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 25 mph speed limit zone saw the highest number of crashes, with 34,300 incidents, representing approximately 30% of all crashes. While crashes were most frequent in lower speed zones, the percentage of crashes that were fatal was higher in zones with faster posted limits. For instance, 0.657% of crashes in 65 mph zones were fatal, compared to 0.192% in 25 mph zones.

Fatal crashes by zone: 1 mph: 4 of 13,554 (0.03%) · 25 mph: 66 of 34,300 (0.192%) · 30 mph: 30 of 9,814 (0.306%) · 35 mph: 36 of 13,224 (0.272%) · 40 mph: 25 of 6,790 (0.368%) · 45 mph: 29 of 4,539 (0.639%) · 50 mph: 12 of 3,331 (0.36%) · 55 mph: 29 of 9,970 (0.291%) · 65 mph: 37 of 5,634 (0.657%) · 88 mph: 9 of 7,228 (0.125%)

Source: Connecticut Crash Data · Csv Open Data · 2018-01-01 to 2018-12-31 · Posted speed limit at crash location

Top Counties

Crash distribution was heavily concentrated in three counties, which together accounted for over 82% of all incidents statewide. Fairfield County had the highest number of crashes with 33,653 (29.5%), followed by New Haven County with 31,932 (28.0%) and Hartford County with 28,787 (25.2%). The remaining five counties each accounted for less than 6% of the state's total crashes.

Top Counties

1
Fairfield33,653 (29.5%)
2
New Haven31,932 (28%)
3
Hartford28,787 (25.2%)
4
New London6,797 (6%)
5
Litchfield4,216 (3.7%)
6
Middlesex3,908 (3.4%)
7
Tolland2,703 (2.4%)
8
Windham2,120 (1.9%)

Source: Connecticut Crash Data · Csv Open Data · 2018-01-01 to 2018-12-31 · Crash-level records

Top Towns

The top three cities for crash incidents were New Haven (7,369), Hartford (6,988), and Bridgeport (6,276). These three municipalities alone accounted for 20,633 crashes, representing 18.1% of the statewide total. Waterbury (6,128) and Stamford (5,169) also reported high crash volumes.

Top Towns

1
New Haven7,369 (8.1%)
2
Hartford6,988 (7.6%)
3
Bridgeport6,276 (6.9%)
4
Waterbury6,128 (6.7%)
5
Stamford5,169 (5.7%)
6
Norwalk3,749 (4.1%)
7
Danbury3,576 (3.9%)
8
Fairfield2,269 (2.5%)
9
Hamden2,122 (2.3%)

Showing top 9 of 50 reported. 41 additional (47,795 total) not shown: Meriden, Stratford, West Hartford, Greenwich, West Haven, New Britain, Manchester, Bristol, East Hartford, Middletown, Milford, Wallingford, Norwich, North Haven, Westport, Trumbull, Southington, Windsor, Orange, New London, Farmington, Torrington, Wethersfield, Newtown, Shelton, Newington, Groton, Branford, Enfield, Vernon, Berlin, Darien, Bloomfield, Cheshire, Plainville, Naugatuck, Rocky Hill, Glastonbury, East Haven, New Milford, Waterford.

Source: Connecticut Crash Data · Csv Open Data · 2018-01-01 to 2018-12-31 · Crash-level records

Road Class

Crashes were most prevalent on arterial roadways, with Minor Arterials accounting for 30,341 crashes and Principal Arterials for 24,406. Combined, these arterials were the site of 47.9% of all crashes. Limited-access highways, including Interstates (15,430) and Freeways/Expressways (8,695), collectively accounted for 21.1% of crashes.

Road Class

Source: Connecticut Crash Data · Csv Open Data · 2018-01-01 to 2018-12-31 · Crash-level records

Route System

An analysis of crashes by the route system shows a split between state-maintained and local roadways. Approximately 54.7% of crashes (62,433) occurred on state-maintained routes, which include State, Interstate, and US Routes. Local roads accounted for 40.0% of crashes, with 45,712 incidents.

Route System

Source: Connecticut Crash Data · Csv Open Data · 2018-01-01 to 2018-12-31 · Crash-level records

Public vs Private Road

Among crashes where the roadway type was specified, the vast majority occurred on public roads. There were 107,160 crashes on public roads, while 4,771 incidents, or 4.1% of the total, occurred on private property such as parking lots or private drives.

Rural vs Urban

The data indicates a significant disparity in crash locations between urban and rural settings. Urban areas accounted for 100,948 crashes, while 4,686 crashes, or 4.3% of those with a defined location type, occurred in designated rural areas.

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, 66.4% (75,786), did not occur at an intersection. However, a significant number, totaling 37,054 crashes (32.5%), happened at or were related to a junction. The most common junction types for crashes were four-way intersections (18,992) and T-intersections (16,733).

Junction Type

1
Not at Intersection75,786 (66.6%)
2
Four-Way Intersection18,992 (16.7%)
3
T-Intersection16,733 (14.7%)
4
Y-Intersection1,321 (1.2%)
5
Five-Point, or More443 (0.4%)
6
L-Intersection348 (0.3%)
7
Roundabout129 (0.1%)
8
Traffic Circle88 (0.1%)

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 single vehicle striking a fixed object, the most commonly hit objects were guardrail faces (2,901), other fixed objects like walls or buildings (2,653), and utility poles or light supports (2,256). Collisions with utility poles and trees combined accounted for 3,737 of these incidents, representing a notable subset of run-off-road crashes.

Run-off-Road / Fixed-Object Strikes

1
Guardrail Face2,901 (16.9%)
2
Other Fixed Object (wall, building, tunnel, etc.)2,653 (15.5%)
3
Utility Pole/Light Support2,256 (13.2%)
4
Tree (standing)1,481 (8.6%)
5
Other Post, Pole or Support1,367 (8%)
6
Curb1,307 (7.6%)
7
Concrete Traffic Barrier934 (5.5%)
8
Embankment659 (3.8%)
9
Mailbox625 (3.7%)

Showing top 9 of 23 reported. 14 additional (2,939 total) not shown: Traffic Sign Support, Cable Barrier, Fence, 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, Culvert, Bridge Pier or Support, 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 common vehicle type involved in crashes, accounting for 128,212 of the 215,793 vehicles involved (59.4%). Sport Utility Vehicles were the second most common, with 46,278 involved (21.4%). Medium and heavy trucks were involved in 5,047 incidents, while motorcycles were involved in 1,142.

Vehicle Type

1
Passenger Car128,212 (60.7%)
2
(Sport) Utility Vehicle46,278 (21.9%)
3
Pick Up14,532 (6.9%)
4
Passenger Van6,565 (3.1%)
5
Medium / Heavy Trucks (more than 10,000 lbs (4,536 kg))5,047 (2.4%)
6
Other Light Trucks (10,000 lbs (4,536 kg) or less)2,783 (1.3%)
7
Cargo Van (10,000 lbs/4,536 kg or less)2,478 (1.2%)
8
Other1,889 (0.9%)
9
Motorcycle1,142 (0.5%)

Showing top 9 of 18 reported. 9 additional (2,450 total) not shown: School Bus, Transit Bus, Other Bus, Moped, Low Speed Vehicle, Motor Home, Motor Coach, All Terrain Vehicle (ATV), Golf Cart.

Source: Connecticut Crash Data · Csv Open Data · 2018-01-01 to 2018-12-31 · Vehicle unit records

Traffic Control Device

Based on data for vehicles involved, 66.3% of vehicles (142,738) were in a crash where no traffic control device was present. Approximately 25.1% of vehicles (54,140) were involved in crashes at locations with a traffic control signal. Crashes at stop signs involved 16,342 vehicles.

Traffic Control Device

"Other" combines 6 smaller categories (547 records): Warning Sign (269), Marked Uncontrolled Crosswalk (143), Pedestrian Button (46), Railway Crossing Device (44), School Zone Sign/Device (41), Bicycle Detection (4).

Source: Connecticut Crash Data · Csv Open Data · 2018-01-01 to 2018-12-31 · Vehicle unit records

Vulnerable Road Users & Motorcycles

The data identifies 3,019 crashes involving pedestrians, bicyclists, or motorcyclists. Among these, pedestrians were involved in 1,472 incidents and bicyclists in 433. Together, these vulnerable road users accounted for 1,905 incidents, representing 63.1% of this specific crash group.

Driver Contributing Action

Among the 99,107 instances where a contributing driver action was recorded, 'Followed Too Closely' was the most common, cited in 33,758 cases. 'Failed to Keep in Proper Lane' was the second most frequent action with 20,408 instances, followed by 'Failed to Yield Right-of-Way' with 11,881 instances.

Driver Contributing Action

1
No Contributing Action93,161 (48%)
2
Followed Too Closely33,758 (17.4%)
3
Failed to Keep in Proper Lane20,408 (10.5%)
4
Failed to Yield Right-of-Way11,881 (6.1%)
5
Improper Backing6,594 (3.4%)
6
Other Contributing Action6,065 (3.1%)
7
Ran Off Roadway4,166 (2.1%)
8
Improper Turn4,152 (2.1%)
9
Operated Motor Vehicle in Inattentive, Careless, Negligent, or Erratic Manner2,783 (1.4%)

Showing top 9 of 19 reported. 10 additional (11,300 total) not shown: Improper Passing, 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, 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

While most drivers were recorded as 'Apparently Normal,' a contributing condition was noted for 7,164 drivers. The most common of these conditions was being 'Under the Influence of Medications/Drugs/Alcohol,' reported for 2,885 drivers. Other noted conditions included 'Asleep or Fatigued' (1,555 drivers) and 'Emotional' (932 drivers).

Driver Condition

1
Apparently Normal182,975 (96.2%)
2
Under the Influence of Medications/Drugs/Alcohol2,885 (1.5%)
3
Asleep or Fatigued1,555 (0.8%)
4
Emotional (depressed, angry, disturbed, etc.)932 (0.5%)
5
Other775 (0.4%)
6
Ill (sick), Fainted552 (0.3%)
7
Physically Impaired465 (0.2%)

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 drivers was 'Straight Ahead,' recorded for 96,773 vehicles, or 47.4% of those with a known action. The second most frequent action was 'Stopped in Traffic' with 24,408 vehicles (12.0%), followed by 'Turning Left' with 16,230 vehicles (7.9%).

Pre-Crash Driver Action

1
Straight Ahead96,773 (46%)
2
Stopped in Traffic24,408 (11.6%)
3
Turning Left16,230 (7.7%)
4
Slowing15,847 (7.5%)
5
Parked13,921 (6.6%)
6
Backing8,127 (3.9%)
7
Turning Right7,395 (3.5%)
8
Negotiating a Curve6,995 (3.3%)
9
Changing Lanes6,891 (3.3%)

Showing top 9 of 17 reported. 8 additional (13,761 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 · 2018-01-01 to 2018-12-31 · Vehicle unit records

Point of Impact

The front of the vehicle was the most common point of impact, recorded as 'Sector 12 (North)' in 61,633 instances, or 28.6% of impacts. The rear of the vehicle, 'Sector 6 (South),' was the second most frequent impact point, occurring in 43,220 cases (20.1%), consistent with the high number of front-to-rear collisions.

Point of Impact

"Other" combines 9 smaller categories (32,314 records): Sector 5 (South by SouthEast) in the 12-point Clock Diagram (7,523), Sector 9 (West) in the 12-point Clock Diagram (5,826), Sector 8 (SouthWest) in the 12-point Clock Diagram (5,614), Sector 4 (SouthEast) in the 12-point Clock Diagram (5,124), Sector 3 (East) in the 12-point Clock Diagram (5,089), Top (1,310), Non-Collision (1,293), Undercarriage (415), Cargo loss (120).

Source: Connecticut Crash Data · Csv Open Data · 2018-01-01 to 2018-12-31 · Vehicle unit records

Pedestrian/Cyclist Action

For pedestrians involved in crashes, 'No Improper Action' was the most frequent assessment, noted in 822 cases. Where an improper action was recorded, 'Failure to Yield Right-Of-Way' was the most common with 197 instances, followed by 'In Roadway Improperly' with 190 instances and 'Dart/Dash' with 134.

Pedestrian/Cyclist Action

1
No Improper Action822 (45.4%)
2
Failure to Yield Right-Of-Way197 (10.9%)
3
In Roadway Improperly (Standing, Lying, Working, Playing)190 (10.5%)
4
Other141 (7.8%)
5
Dart/Dash134 (7.4%)
6
Failure to Obey Traffic Signs, Signals, or Officer112 (6.2%)
7
Not Visible (Dark Clothing, No Lighting, etc.)65 (3.6%)
8
Wrong-Way Riding or Walking47 (2.6%)
9
Entering/Exiting Parked/Standing Vehicle28 (1.5%)

Showing top 9 of 14 reported. 5 additional (76 total) not shown: Inattentive (Talking, Eating, etc.), Disabled Vehicle Related (Working on, Pushing, Leaving/Approaching), Improper Turn/Merge, Improper Passing, 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 frequent type of crash was a 'Front to rear' collision, which accounted for 42,221 incidents, or 37.0% of all crashes. 'Angle' collisions were the second most common type, with 22,223 incidents, representing 19.5% of the total.

Manner of Collision

"Other" combines 1 smaller categories (964 records): Rear to rear (964).

Source: Connecticut Crash Data · Csv Open Data · 2018-01-01 to 2018-12-31 · Crash-level records

Person Type

Of the 282,425 individuals involved in crashes, the majority were drivers, accounting for 204,767 people (72.5%). Passengers made up the next largest group with 64,323 individuals (22.8%). Pedestrians and bicyclists constituted a smaller but significant portion, with 1,638 and 442 individuals respectively.

Person Type

Source: Connecticut Crash Data · Csv Open Data · 2018-01-01 to 2018-12-31 · Crash-level records

Person Injury Severity

Out of 282,425 people involved in crashes, 37,884 individuals sustained some level of injury or were killed. This includes 299 fatalities (0.11%), 1,362 serious injuries, 13,620 minor injuries, and 22,603 possible injuries. The vast majority of people involved, 234,757 individuals, were not injured.

Person Injury Severity

Source: Connecticut Crash Data · Csv Open Data · 2018-01-01 to 2018-12-31 · Crash-level records

Occupant Safety Equipment

Restraint use was recorded for 230,781 vehicle occupants. The data shows that 196,389 occupants used both a shoulder and lap belt. However, 4,986 occupants were recorded as using no safety restraint at all, representing 2.2% of occupants with known restraint use.

Occupant Safety Equipment

"Other" combines 3 smaller categories (1,792 records): Other (828), Booster Seat (659), Child Restraint, Type Unknown (305).

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 majority of crashes, 75.3% (85,989 incidents), involved two vehicles. Single-vehicle crashes accounted for 18.5% of the total, with 21,175 incidents. Crashes involving three or more vehicles were less common, though the data includes two incidents that involved 10 vehicles each.

Vehicles Per Crash

"Other" combines 3 smaller categories (6 records): Unknown (3), 10 (2), 8 (1).

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: 114,156
  • Total persons involved: 282,425
  • Total vehicles involved: 215,793

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

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