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Monthly Traffic Safety Analysis

8,619 CRASHES IN
CONNECTICUT, CT
MARCH 2018

In March 2018, Connecticut recorded 8,619 traffic crashes, resulting in 15 fatalities and 2,806 injuries. The data indicates that front-to-rear collisions were the most frequent type of crash, accounting for 3,082 incidents, or 35.8% of the total. Weekday traffic, particularly during the afternoon commute, saw the highest concentration of these events.

8,619

Total Crash Events

15

Persons Killed

2,806

Persons Injured

12.4%

Hit-and-Run Rate

Note: "Persons Killed" (15) counts individual fatalities across all crash events. "Fatal" in the severity table below (15) counts crash events where at least one fatality occurred. A single crash can result in multiple fatalities.

Source: Connecticut Crash Data · Csv Open Data · 2018-03-01 to 2018-03-31 · Aggregate counts from crash, person, and vehicle records

1,069

Hit-and-Run Crashes — March 2018

During this period, 1,069 crashes were classified as hit-and-run incidents, representing 12.4% of all total crashes. This classification is based on the responding officer's determination at the scene that a driver involved had left without providing required information.

Vulnerable Road User Casualties

Of the 15 total fatalities, 12 were motorists and 3 were pedestrians. Motorists also accounted for the vast majority of injuries, with 2,693 individuals injured. Additionally, 95 pedestrians and 18 cyclists sustained injuries during this period. No cyclist fatalities were recorded.

3

Pedestrians Killed

0

Cyclists Killed

12

Motorists Killed

95

Pedestrians Injured

18

Cyclists Injured

2,693

Motorists Injured

Source: Connecticut Crash Data · Csv Open Data · 2018-03-01 to 2018-03-31 · Mode classified from person records (driver/passenger → motorist; pedestrian; bicyclist → cyclist; in-line skater / unspecified → other)

When Crashes Happen

Crash frequencies peaked on Friday, which saw 1,705 incidents, and during the 3 p.m. hour, when 701 crashes occurred. A significant majority of collisions, 6,164 or 71.5%, happened during daylight hours. Crashes in dark but lighted conditions accounted for another 1,638 incidents.

Source: Connecticut Crash Data · Csv Open Data · 2018-03-01 to 2018-03-31 · Crash date field aggregated by weekday

Source: Connecticut Crash Data · Csv Open Data · 2018-03-01 to 2018-03-31 · Crash time field aggregated by hour (0-23)

Crash Severity Breakdown

The vast majority of crashes, 76.6% (6,602 incidents), resulted in no injuries. Crashes involving possible, minor, or serious injuries accounted for 23.4% of the total. There were 15 fatal crashes recorded, which resulted in 15 fatalities; in some incidents, a single crash can lead to multiple deaths.

Outcome by Severity (Crash Events)

Fatal15fatal crashes0.2%
Serious Injury78serious injury crashes0.9%
Minor Injury747minor injury crashes8.7%
Possible Injury1,177possible injury crashes13.7%
No Injury6,602no injury crashes76.6%

Source: Connecticut Crash Data · Csv Open Data · 2018-03-01 to 2018-03-31 · KABCO injury classification scale

Severity Distribution (Crash Events)

Source: Connecticut Crash Data · Csv Open Data · 2018-03-01 to 2018-03-31 · Most severe injury per crash record

Road & Environmental Conditions

Most crashes occurred in favorable conditions, with 78.1% (6,735) happening in clear weather and 78.2% (6,742) on dry road surfaces. Collisions during daylight hours accounted for 71.5% (6,164) of the total. Among adverse conditions, wet roads were present in 1,001 crashes and snow was a factor in 664 incidents.

Weather

Clear6,735 (78.7%)
Snow664 (7.8%)
Cloudy482 (5.6%)
Rain410 (4.8%)
Blowing Snow157 (1.8%)
Freezing Rain or Freezing Drizzle49 (0.6%)
Fog, Smog, Smoke19 (0.2%)
Sleet or Hail17 (0.2%)
Severe Crosswinds16 (0.2%)
Other9 (0.1%)

Source: Connecticut Crash Data · Csv Open Data · 2018-03-01 to 2018-03-31 · Weather condition at time of crash

Lighting

Daylight6,164 (72.2%)
Dark-Lighted1,638 (19.2%)
Dark-Not Lighted502 (5.9%)
Dusk136 (1.6%)
Dawn41 (0.5%)
Dark-Unknown Lighting40 (0.5%)
Other12 (0.1%)

Source: Connecticut Crash Data · Csv Open Data · 2018-03-01 to 2018-03-31 · Lighting condition field

Road Surface

Dry6,742 (78.7%)
Wet1,001 (11.7%)
Snow604 (7.0%)
Slush112 (1.3%)
Ice / Frost75 (0.9%)
Sand17 (0.2%)
Other6 (0.1%)
Mud, Dirt, Gravel6 (0.1%)
Standing Water3 (0.0%)
Moving Water2 (0.0%)

Source: Connecticut Crash Data · Csv Open Data · 2018-03-01 to 2018-03-31 · Road surface condition field

Vehicles & Demographics

Among all individuals involved in crashes, the 26-34 age group was the most represented, with 3,713 people. Analysis of the 16,211 vehicles involved shows that Honda was the most frequent make, with 1,615 vehicles, followed by Ford (1,570), Toyota (1,367), and Nissan (1,173).

Top Vehicle Makes (16,211 vehicles)

1
HONDA1,615 (10%)
2
FORD1,570 (9.7%)
3
TOYOTA1,367 (8.4%)
4
NISSAN1,173 (7.2%)
5
CHEVROLET844 (5.2%)
6
JEEP708 (4.4%)
7
SUBARU511 (3.2%)
8
HYUNDAI466 (2.9%)
9
DODGE400 (2.5%)
10
BMW303 (1.9%)

Source: Connecticut Crash Data · Csv Open Data · 2018-03-01 to 2018-03-31 · Vehicle unit records

1,419 persons with unknown or unrecorded age excluded from age chart.

Sex Distribution (19,929 persons with recorded sex)

Male11,012 (55.3%)
Female8,917 (44.7%)

Source: Connecticut Crash Data · Csv Open Data · 2018-03-01 to 2018-03-31 · Person-level records linked to crash events

Speed Limit Zones

The 25 mph speed zone saw the highest number of crashes, with 2,677 incidents, making up 31.1% of the total. The percentage of crashes within a zone that were fatal generally increased with the speed limit; for instance, 0.11% of crashes in 25 mph zones were fatal, while this figure rose to 0.59% in 45 mph zones and 0.38% in zones posted at 88 mph.

Fatal crashes by zone: 1 mph: 1 of 1,055 (0.095%) · 25 mph: 3 of 2,677 (0.112%) · 30 mph: 2 of 783 (0.255%) · 35 mph: 1 of 975 (0.103%) · 40 mph: 1 of 481 (0.208%) · 45 mph: 2 of 340 (0.588%) · 55 mph: 2 of 702 (0.285%) · 65 mph: 1 of 361 (0.277%) · 88 mph: 2 of 526 (0.38%)

Source: Connecticut Crash Data · Csv Open Data · 2018-03-01 to 2018-03-31 · Posted speed limit at crash location

Top Counties

Fairfield County recorded the highest number of crashes with 2,568 incidents, representing 29.8% of the statewide total. New Haven County followed closely with 2,478 crashes (28.7%), and Hartford County had 2,054 crashes (23.8%). Together, these three counties accounted for over 82% of all crashes in the state.

Top Counties

1
Fairfield2,568 (29.8%)
2
New Haven2,478 (28.8%)
3
Hartford2,054 (23.8%)
4
New London535 (6.2%)
5
Litchfield338 (3.9%)
6
Middlesex280 (3.2%)
7
Tolland204 (2.4%)
8
Windham159 (1.8%)

Source: Connecticut Crash Data · Csv Open Data · 2018-03-01 to 2018-03-31 · Crash-level records

Top Towns

The highest concentration of crashes occurred in New Haven, which saw 611 incidents or 7.1% of the state's total. Bridgeport was the second-highest with 514 crashes (6.0%), followed by Hartford with 508 crashes (5.9%). Waterbury (483) and Stamford (383) also ranked among the top five cities for crash volume.

Top Towns

1
New Haven611 (8.8%)
2
Bridgeport514 (7.4%)
3
Hartford508 (7.3%)
4
Waterbury483 (7%)
5
Stamford383 (5.5%)
6
Danbury262 (3.8%)
7
Norwalk244 (3.5%)
8
Fairfield185 (2.7%)
9
Hamden177 (2.5%)

Showing top 9 of 50 reported. 41 additional (3,581 total) not shown: Stratford, West Hartford, West Haven, Meriden, Manchester, East Hartford, New Britain, Greenwich, Norwich, Bristol, Middletown, Wallingford, Westport, Trumbull, Milford, North Haven, Torrington, Southington, Orange, Branford, Newtown, Shelton, Newington, New London, Windsor, Wethersfield, Farmington, Bloomfield, Darien, Vernon, Enfield, Cheshire, Plainville, Berlin, Waterford, Groton, Glastonbury, New Milford, Naugatuck, New Canaan, Ridgefield.

Source: Connecticut Crash Data · Csv Open Data · 2018-03-01 to 2018-03-31 · Crash-level records

Road Class

Minor Arterial roads were the site of the most crashes, with 2,305 incidents. Principal Arterial roads followed with 1,864 crashes. Combined, limited-access highways such as Interstates (1,046) and Freeways/Expressways (627) accounted for 1,673 crashes, or 19.4% of the total.

Road Class

Source: Connecticut Crash Data · Csv Open Data · 2018-03-01 to 2018-03-31 · Crash-level records

Route System

Analysis of roadway jurisdiction shows that 56.1% of crashes occurred on state-maintained routes, including 2,742 on State routes, 1,034 on Interstates, and 780 on US Routes. The remaining 43.9% of crashes, totaling 3,569 incidents, took place on local roads.

Route System

Source: Connecticut Crash Data · Csv Open Data · 2018-03-01 to 2018-03-31 · Crash-level records

Public vs Private Road

Of the crashes where roadway ownership was documented, 388 incidents, or 4.6%, occurred on private property such as parking lots or private drives. The vast majority of crashes, 8,045 incidents, took place on public roads.

Rural vs Urban

The data indicates a significant majority of crashes, 7,644 incidents, occurred in areas classified as Urban. Crashes in Rural areas accounted for 361 incidents, representing 4.5% of the total where this classification was recorded.

Rural vs Urban

Source: Connecticut Crash Data · Csv Open Data · 2018-03-01 to 2018-03-31 · Crash-level records

Junction Type

Most crashes, 5,706 incidents or 66.2% of the total, did not occur at an intersection. For those that did, four-way intersections were the most common location with 1,405 crashes, followed by T-intersections with 1,305 crashes. In total, 33.6% of all crashes happened at some type of junction.

Junction Type

1
Not at Intersection5,706 (66.4%)
2
Four-Way Intersection1,405 (16.3%)
3
T-Intersection1,305 (15.2%)
4
Y-Intersection104 (1.2%)
5
Five-Point, or More37 (0.4%)
6
L-Intersection21 (0.2%)
7
Roundabout13 (0.2%)
8
Traffic Circle8 (0.1%)

Source: Connecticut Crash Data · Csv Open Data · 2018-03-01 to 2018-03-31 · Crash-level records

Run-off-Road / Fixed-Object Strikes

Among crashes where the first harmful event was a collision with a fixed object, the most frequently struck objects were utility or light poles (238 incidents), other fixed objects like walls or buildings (215), and guardrail faces (210). Collisions with poles and trees combined accounted for 483 separate incidents.

Run-off-Road / Fixed-Object Strikes

1
Utility Pole/Light Support238 (17.6%)
2
Other Fixed Object (wall, building, tunnel, etc.)215 (15.9%)
3
Guardrail Face210 (15.6%)
4
Tree (standing)130 (9.6%)
5
Other Post, Pole or Support115 (8.5%)
6
Curb85 (6.3%)
7
Concrete Traffic Barrier57 (4.2%)
8
Mailbox46 (3.4%)
9
Embankment46 (3.4%)

Showing top 9 of 22 reported. 13 additional (208 total) not shown: Traffic Sign Support, Cable Barrier, Fence, Ditch, Guardrail End, Bridge Overhead Structure, Other Traffic Barrier, Struck by Falling, Shifting Cargo or Anything Set in Motion by Motor Vehicle, Impact Attenuator/Crash Cushion, Culvert, Traffic Signal Support, Bridge Rail, Bridge Pier or Support.

Source: Connecticut Crash Data · Csv Open Data · 2018-03-01 to 2018-03-31 · Crash-level records

Vehicle Type

Passenger cars were the most common vehicle type involved in crashes, accounting for 9,725 of the vehicles. Sport utility vehicles were the next most frequent with 3,409, followed by pickup trucks with 1,166. Notably, 365 medium or heavy trucks and 23 motorcycles were also involved in collisions.

Vehicle Type

1
Passenger Car9,725 (61.3%)
2
(Sport) Utility Vehicle3,409 (21.5%)
3
Pick Up1,166 (7.3%)
4
Passenger Van476 (3%)
5
Medium / Heavy Trucks (more than 10,000 lbs (4,536 kg))365 (2.3%)
6
Other Light Trucks (10,000 lbs (4,536 kg) or less)212 (1.3%)
7
Cargo Van (10,000 lbs/4,536 kg or less)167 (1.1%)
8
Other153 (1%)
9
School Bus80 (0.5%)

Showing top 9 of 16 reported. 7 additional (116 total) not shown: Transit Bus, Other Bus, Motorcycle, Moped, Motor Coach, Low Speed Vehicle, All Terrain Vehicle (ATV).

Source: Connecticut Crash Data · Csv Open Data · 2018-03-01 to 2018-03-31 · Vehicle unit records

Traffic Control Device

For vehicles involved in crashes, 66.4% (10,771 vehicles) were at locations with no traffic control device. Locations with a traffic control signal accounted for 23.9% of vehicles (3,870), while 1,294 vehicles were at locations with a stop sign.

Traffic Control Device

"Other" combines 5 smaller categories (44 records): Other (21), Marked Uncontrolled Crosswalk (14), Railway Crossing Device (5), Pedestrian Button (2), School Zone Sign/Device (2).

Source: Connecticut Crash Data · Csv Open Data · 2018-03-01 to 2018-03-31 · Vehicle unit records

Vulnerable Road Users & Motorcycles

A total of 142 crashes involved pedestrians, bicyclists, or motorcyclists. Vulnerable road users, defined here as pedestrians and bicyclists, were involved in 119 of these incidents, representing 83.8% of this crash subset. Pedestrians were involved in 95 crashes and bicyclists in 24.

Driver Contributing Action

Among the 15,353 drivers involved in crashes, 'Following Too Closely' was the most cited contributing action, attributed to 2,400 drivers (15.6%). 'Failed to Keep in Proper Lane' was the second most common action, noted for 1,452 drivers (9.5%), followed by 'Failed to Yield Right-of-Way' for 898 drivers (5.8%).

Driver Contributing Action

1
No Contributing Action6,955 (47.8%)
2
Followed Too Closely2,400 (16.5%)
3
Failed to Keep in Proper Lane1,452 (10%)
4
Failed to Yield Right-of-Way898 (6.2%)
5
Improper Backing559 (3.8%)
6
Other Contributing Action450 (3.1%)
7
Ran Off Roadway374 (2.6%)
8
Improper Turn323 (2.2%)
9
Improper Passing225 (1.5%)

Showing top 9 of 19 reported. 10 additional (901 total) not shown: Ran Stop Sign, Operated Motor Vehicle in Inattentive, Careless, Negligent, or Erratic Manner, 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 · 2018-03-01 to 2018-03-31 · Person-level records linked to crash events

Driver Condition

Of all drivers, 539 individuals (3.5%) were recorded as having a physical or mental condition other than 'Apparently Normal'. The most common condition noted was being 'Under the Influence of Medications/Drugs/Alcohol,' which was recorded for 228 drivers. An additional 114 drivers were noted as 'Asleep or Fatigued.'

Driver Condition

1
Apparently Normal13,652 (96.2%)
2
Under the Influence of Medications/Drugs/Alcohol228 (1.6%)
3
Asleep or Fatigued114 (0.8%)
4
Emotional (depressed, angry, disturbed, etc.)70 (0.5%)
5
Other47 (0.3%)
6
Ill (sick), Fainted47 (0.3%)
7
Physically Impaired33 (0.2%)

Source: Connecticut Crash Data · Csv Open Data · 2018-03-01 to 2018-03-31 · Person-level records linked to crash events

Pre-Crash Driver Action

The most common pre-crash action for vehicles was 'Straight Ahead,' which described the movement of 7,376 vehicles (45.5%). 'Stopped in Traffic' was the second most frequent pre-crash action, recorded for 1,764 vehicles (10.9%), followed by 'Turning Left' for 1,213 vehicles (7.5%).

Pre-Crash Driver Action

1
Straight Ahead7,376 (46.7%)
2
Stopped in Traffic1,764 (11.2%)
3
Turning Left1,213 (7.7%)
4
Parked1,075 (6.8%)
5
Slowing1,022 (6.5%)
6
Backing703 (4.5%)
7
Turning Right556 (3.5%)
8
Negotiating a Curve528 (3.3%)
9
Changing Lanes467 (3%)

Showing top 9 of 17 reported. 8 additional (1,083 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 · 2018-03-01 to 2018-03-31 · Vehicle unit records

Point of Impact

Analysis of the initial point of impact shows that frontal collisions were most common, with 50.1% of vehicles (8,125) being struck in the front sectors. Rear impacts were the second most frequent, accounting for 28.0% of vehicles (4,537).

Point of Impact

"Other" combines 9 smaller categories (2,433 records): Sector 2 (NorthEast) in the 12-point Clock Diagram (554), Sector 8 (SouthWest) in the 12-point Clock Diagram (422), Sector 9 (West) in the 12-point Clock Diagram (411), Sector 4 (SouthEast) in the 12-point Clock Diagram (408), Sector 3 (East) in the 12-point Clock Diagram (377), Top (117), Non-Collision (96), Undercarriage (38), Cargo loss (10).

Source: Connecticut Crash Data · Csv Open Data · 2018-03-01 to 2018-03-31 · Vehicle unit records

Pedestrian/Cyclist Action

Among the 114 pedestrians involved, 57 were determined to have taken 'No Improper Action' prior to the collision. For the remainder, the most frequently cited action was 'Failure to Yield Right-Of-Way,' recorded for 15 pedestrians, followed by 'In Roadway Improperly' for 11 pedestrians.

Pedestrian/Cyclist Action

1
No Improper Action57 (49.6%)
2
Failure to Yield Right-Of-Way15 (13%)
3
In Roadway Improperly (Standing, Lying, Working, Playing)11 (9.6%)
4
Other10 (8.7%)
5
Dart/Dash5 (4.3%)
6
Failure to Obey Traffic Signs, Signals, or Officer5 (4.3%)
7
Not Visible (Dark Clothing, No Lighting, etc.)3 (2.6%)
8
Disabled Vehicle Related (Working on, Pushing, Leaving/Approaching)3 (2.6%)
9
Inattentive (Talking, Eating, etc.)2 (1.7%)

Showing top 9 of 11 reported. 2 additional (4 total) not shown: Entering/Exiting Parked/Standing Vehicle, Wrong-Way Riding or Walking.

Source: Connecticut Crash Data · Csv Open Data · 2018-03-01 to 2018-03-31 · Non-motorist records linked to crash events

Manner of Collision

The most prevalent type of collision was 'Front to rear,' which accounted for 3,082 crashes, or 35.8% of all incidents. Angle collisions were the second most common type, with 1,710 crashes, representing 19.8% of the total.

Manner of Collision

"Other" combines 1 smaller categories (87 records): Rear to rear (87).

Source: Connecticut Crash Data · Csv Open Data · 2018-03-01 to 2018-03-31 · Crash-level records

Person Type

Of the 21,115 individuals involved in crashes, the majority were drivers (15,353 people, or 72.7%). Passengers constituted the next largest group, with 4,800 individuals (22.7%). The data also included 114 pedestrians and 24 bicyclists.

Person Type

Source: Connecticut Crash Data · Csv Open Data · 2018-03-01 to 2018-03-31 · Crash-level records

Person Injury Severity

Across all 21,115 people involved, 15 individuals (0.07%) sustained fatal injuries. A total of 2,806 people (13.3%) suffered some level of injury, ranging from possible to serious. The vast majority, 17,578 people or 83.2%, were not injured.

Person Injury Severity

Source: Connecticut Crash Data · Csv Open Data · 2018-03-01 to 2018-03-31 · Crash-level records

Occupant Safety Equipment

Among motor vehicle occupants for whom safety equipment use was recorded, 462 individuals, or 2.7%, were noted as not using any restraints. The most common form of protection was a shoulder and lap belt, used by 14,531 occupants.

Occupant Safety Equipment

"Other" combines 3 smaller categories (97 records): Other (40), Booster Seat (36), Child Restraint, Type Unknown (21).

Source: Connecticut Crash Data · Csv Open Data · 2018-03-01 to 2018-03-31 · Person-level records linked to crash events

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: 2018-03-01 through 2018-03-31
  • Report generated: August 20, 2026

Data Coverage

  • Reporting period: 2018-03-01 through 2018-03-31 (31 days)
  • Geographic scope: connecticut, CT
  • Total crash records analyzed: 8,619
  • Total persons involved: 21,115
  • Total vehicles involved: 16,211

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: March 2018." Published August 20, 2026. Reporting period: 2018-03-01 to 2018-03-31. Data source: Connecticut Crash Data, Csv Open Data. Available at: https://thatcarhitme.com/crash-data/connecticut/statewide/march-2018-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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