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Yearly Traffic Safety Analysis

2,703 CRASHES IN
CONNECTICUT, CT
2018

In 2018, Tolland County recorded 2,703 traffic crashes, resulting in 16 fatalities and 820 injuries. A significant portion of these incidents, 32.1%, were front-to-rear collisions. The data indicates that crashes occurred most frequently on Fridays and during the 3 p.m. hour.

2,703

Total Crash Events

16

Persons Killed

820

Persons Injured

6.8%

Hit-and-Run Rate

Note: "Persons Killed" (16) 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 · 2018-01-01 to 2018-12-31 · Aggregate counts from crash, person, and vehicle records

185

Hit-and-Run Crashes — 2018

In Tolland County, 185 crashes were classified as hit-and-run incidents, accounting for 6.8% of all crashes in 2018. This classification is based on the initial determination made by the responding law enforcement officer at the scene.

Vulnerable Road User Casualties

In 2018, motorists comprised the vast majority of those killed or injured, with 15 fatalities and 797 injuries. Among vulnerable road users, one pedestrian was killed and 19 were injured. Additionally, four cyclists were injured in crashes, with no cyclist fatalities reported.

1

Pedestrians Killed

0

Cyclists Killed

15

Motorists Killed

19

Pedestrians Injured

4

Cyclists Injured

797

Motorists Injured

Source: Connecticut Crash Data · Csv Open Data · 2018-01-01 to 2018-12-31 · Mode classified from person records (driver/passenger → motorist; pedestrian; bicyclist → cyclist; in-line skater / unspecified → other)

When Crashes Happen

Crashes in Tolland County were most frequent on Fridays, with 443 incidents recorded. The single busiest hour for crashes was 3 p.m., which saw 220 events. Overall, collisions predominantly occurred during daylight hours, which accounted for 1,801 of the total 2,703 crashes.

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, 76.4% (2,066 incidents), resulted in no injuries. Injury-related crashes, including serious, minor, and possible injuries, constituted 23.0% of the total. There were 15 fatal crashes, which resulted in a total of 16 fatalities.

Severity is per crash event (most severe injury). 15 fatal crash events resulted in 16 persons killed.

Outcome by Severity (Crash Events)

Fatal15fatal crashes0.6%
Serious Injury20serious injury crashes0.7%
Minor Injury324minor injury crashes12%
Possible Injury278possible injury crashes10.3%
No Injury2,066no injury crashes76.4%

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 significant majority of crashes occurred in favorable conditions, with 73.9% happening in clear weather and 69.2% on dry road surfaces. Daylight conditions were present for 1,801 crashes (66.6% of the total). Crashes in adverse weather included 322 in rain and 126 in snow, while 524 incidents occurred on wet roads.

Weather

Clear1,998 (74.6%)
Rain322 (12.0%)
Snow126 (4.7%)
Cloudy118 (4.4%)
Blowing Snow50 (1.9%)
Freezing Rain or Freezing Drizzle31 (1.2%)
Fog, Smog, Smoke16 (0.6%)
Sleet or Hail11 (0.4%)
Other4 (0.1%)
Severe Crosswinds1 (0.0%)

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

Lighting

Daylight1,801 (67.3%)
Dark-Not Lighted398 (14.9%)
Dark-Lighted391 (14.6%)
Dusk53 (2.0%)
Dawn23 (0.9%)
Dark-Unknown Lighting10 (0.4%)
Other2 (0.1%)

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

Road Surface

Dry1,870 (69.8%)
Wet524 (19.5%)
Snow143 (5.3%)
Ice / Frost74 (2.8%)
Slush50 (1.9%)
Mud, Dirt, Gravel12 (0.4%)
Other7 (0.3%)
Sand1 (0.0%)

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 966 individuals, followed closely by the 16-20 and 21-25 age groups with 926 and 921 individuals, respectively. The most frequent vehicle makes involved in these incidents were Ford with 575 vehicles, Toyota with 437, and Honda with 434.

Top Vehicle Makes (4,786 vehicles)

1
FORD575 (12%)
2
TOYOTA437 (9.1%)
3
HONDA434 (9.1%)
4
NISSAN292 (6.1%)
5
SUBARU275 (5.7%)
6
CHEVROLET258 (5.4%)
7
HYUNDAI208 (4.3%)
8
JEEP202 (4.2%)
9
DODGE135 (2.8%)
10
HOND114 (2.4%)

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

199 persons with unknown or unrecorded age excluded from age chart.

Sex Distribution (6,145 persons with recorded sex)

Male3,302 (53.7%)
Female2,843 (46.3%)

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

Speed Limit Zones

Roadways with a posted speed limit of 35 mph saw the highest number of crashes, accounting for 613 incidents or 22.7% of the total. While crashes were most numerous in lower speed zones, the highest rate of fatal crashes occurred in the 65 mph zone, where 1.85% of crashes were fatal. In the 40 mph zone, 0.87% of crashes resulted in a fatality.

Fatal crashes by zone: 1 mph: 1 of 181 (0.552%) · 25 mph: 3 of 431 (0.696%) · 30 mph: 1 of 394 (0.254%) · 35 mph: 1 of 613 (0.163%) · 40 mph: 3 of 346 (0.867%) · 45 mph: 2 of 379 (0.528%) · 65 mph: 4 of 216 (1.852%)

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

Top Towns

Crash distribution across Tolland County was concentrated in a few key towns. Vernon accounted for the largest share of incidents with 773 crashes, or 28.6% of the county's total. Mansfield followed with 487 crashes (18.0%), and the town of Tolland recorded 257 crashes (9.5%).

Top Towns

1
Vernon773 (28.6%)
2
Mansfield487 (18%)
3
Tolland257 (9.5%)
4
Coventry211 (7.8%)
5
Ellington194 (7.2%)
6
Stafford131 (4.8%)
7
Willington119 (4.4%)
8
Somers111 (4.1%)
9
Bolton111 (4.1%)

Showing top 9 of 13 reported. 4 additional (309 total) not shown: Columbia, Hebron, Andover, Union.

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

Road Class

Principal Arterials were the site of the most crashes, with 755 incidents recorded on this road class. Collector roads saw the second-highest volume with 616 crashes. Combined, limited-access highways such as Interstates (277) and Freeways/Expressways (59) accounted for 12.4% of all crashes in the county.

Road Class

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

Route System

The majority of crashes, 1,918 incidents, occurred on state-maintained routes, which include State, Interstate, and US Routes. This represents 75.2% of crashes where the route system was identified. Local roads accounted for the remaining 633 crashes, or 24.8% of the total.

Route System

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

Public vs Private Road

Of the crashes where roadway ownership was documented, the vast majority (2,604) occurred on public roads. A smaller but notable number of incidents, 61 crashes or 2.3%, took place on private property such as parking lots or private drives.

Rural vs Urban

Crashes in Tolland County were predominantly located in urban areas, which accounted for 1,916 incidents. Rural areas saw 602 crashes, representing 23.9% of the total where this 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 most common location for crashes was not at an intersection, with 1,782 such incidents recorded. However, a substantial portion of crashes, totaling 919 incidents or 34.0%, occurred at or were related to junctions. Among intersection types, T-intersections were the most frequent site for crashes with 449 incidents, followed by four-way intersections with 401.

Junction Type

1
Not at Intersection1,782 (66%)
2
T-Intersection449 (16.6%)
3
Four-Way Intersection401 (14.8%)
4
Y-Intersection53 (2%)
5
Roundabout6 (0.2%)
6
L-Intersection5 (0.2%)
7
Traffic Circle3 (0.1%)
8
Five-Point, or More2 (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 collision with a fixed object, the most commonly struck objects were utility poles or light supports (113 incidents), trees (103 incidents), and guardrail faces (98 incidents). Combined, collisions with poles and trees accounted for 216 of these run-off-road crashes.

Run-off-Road / Fixed-Object Strikes

1
Utility Pole/Light Support113 (16.6%)
2
Tree (standing)103 (15.2%)
3
Guardrail Face98 (14.4%)
4
Other Post, Pole or Support86 (12.7%)
5
Other Fixed Object (wall, building, tunnel, etc.)68 (10%)
6
Embankment43 (6.3%)
7
Mailbox37 (5.4%)
8
Curb32 (4.7%)
9
Traffic Sign Support29 (4.3%)

Showing top 9 of 19 reported. 10 additional (70 total) not shown: Concrete Traffic Barrier, Ditch, Guardrail End, Fence, Cable Barrier, Other Traffic Barrier, Culvert, Struck by Falling, Shifting Cargo or Anything Set in Motion by Motor Vehicle, Bridge Pier or Support, Bridge Rail.

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 3,081 of all vehicles recorded. Sport Utility Vehicles (718) and Pick Up trucks (434) were the next most frequent. The data also includes 125 medium or heavy trucks, 38 motorcycles, and 32 buses involved in crashes.

Vehicle Type

1
Passenger Car3,081 (65.3%)
2
(Sport) Utility Vehicle718 (15.2%)
3
Pick Up434 (9.2%)
4
Medium / Heavy Trucks (more than 10,000 lbs (4,536 kg))125 (2.6%)
5
Passenger Van124 (2.6%)
6
Other Light Trucks (10,000 lbs (4,536 kg) or less)83 (1.8%)
7
Cargo Van (10,000 lbs/4,536 kg or less)39 (0.8%)
8
Motorcycle38 (0.8%)
9
Other36 (0.8%)

Showing top 9 of 16 reported. 7 additional (41 total) not shown: School Bus, Transit Bus, Other Bus, Moped, All Terrain Vehicle (ATV), Low Speed Vehicle, Motor Home.

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

Traffic Control Device

For vehicles involved in crashes, the most common traffic control scenario was the absence of any control device, noted for 3,358 vehicles. Crashes at locations with traffic signals involved 938 vehicles, while locations with stop signs involved 372 vehicles.

Traffic Control Device

"Other" combines 3 smaller categories (7 records): Warning Sign (4), Other (2), School Zone Sign/Device (1).

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

Vulnerable Road Users & Motorcycles

Crashes in 2018 involved 62 vulnerable road users or motorcyclists. Motorcyclists were the most frequent group with 38 incidents. Combined, pedestrians (20) and bicyclists (4) accounted for 24 of these crashes, representing 38.7% of this specific group.

Driver Contributing Action

The most common contributing driver action identified in crashes was 'Followed Too Closely,' cited for 760 drivers, or 16.4% of all drivers. 'Failed to Keep in Proper Lane' was the second most frequent action, attributed to 517 drivers (11.2%). 'Failed to Yield Right-of-Way' was a factor for 358 drivers.

Driver Contributing Action

1
No Contributing Action1,954 (43.3%)
2
Followed Too Closely760 (16.8%)
3
Failed to Keep in Proper Lane517 (11.4%)
4
Failed to Yield Right-of-Way358 (7.9%)
5
Ran Off Roadway170 (3.8%)
6
Improper Turn142 (3.1%)
7
Other Contributing Action120 (2.7%)
8
Operated Motor Vehicle in Inattentive, Careless, Negligent, or Erratic Manner110 (2.4%)
9
Improper Backing99 (2.2%)

Showing top 9 of 19 reported. 10 additional (286 total) not shown: Improper Passing, Ran Stop Sign, Swerved or Avoided Due to Wind, Slippery Surface, Motor Vehicle, Object, Non-Motorist in Roadway, etc., Operated Motor Vehicle in Reckless or Aggressive Manner, Ran Red Light, 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 listed as 'Apparently Normal,' several non-normal conditions were noted. Being under the influence of medications, drugs, or alcohol was recorded for 112 drivers (2.4% of all drivers). An additional 60 drivers were identified as asleep or fatigued, and 30 were noted as ill or fainted.

Driver Condition

1
Apparently Normal4,171 (94.2%)
2
Under the Influence of Medications/Drugs/Alcohol112 (2.5%)
3
Asleep or Fatigued60 (1.4%)
4
Ill (sick), Fainted30 (0.7%)
5
Emotional (depressed, angry, disturbed, etc.)25 (0.6%)
6
Other19 (0.4%)
7
Physically Impaired9 (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 vehicles was proceeding straight ahead, which was the case for 2,161 vehicles (45.1% of the total). A significant number of vehicles were stopped in traffic (590) or in the process of turning left (429) immediately prior to the collision.

Pre-Crash Driver Action

1
Straight Ahead2,161 (45.7%)
2
Stopped in Traffic590 (12.5%)
3
Turning Left429 (9.1%)
4
Slowing335 (7.1%)
5
Negotiating a Curve269 (5.7%)
6
Parked194 (4.1%)
7
Turning Right180 (3.8%)
8
Backing136 (2.9%)
9
Entering Traffic Lane108 (2.3%)

Showing top 9 of 16 reported. 7 additional (330 total) not shown: Overtaking/Passing, Changing Lanes, Other, Leaving Traffic Lane, Wrong way (or Wrong Side), Making U-Turn, Overtaking/Passing Cyclist.

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)' for 1,419 vehicles, representing 29.7% of all impacts. The rear of the vehicle, 'Sector 6 (South)', was the second most frequent impact point, accounting for 847 incidents (17.7%).

Point of Impact

"Other" combines 9 smaller categories (750 records): Sector 2 (NorthEast) in the 12-point Clock Diagram (150), Sector 9 (West) in the 12-point Clock Diagram (138), Sector 4 (SouthEast) in the 12-point Clock Diagram (130), Sector 3 (East) in the 12-point Clock Diagram (129), Sector 8 (SouthWest) in the 12-point Clock Diagram (126), Non-Collision (45), Undercarriage (17), Top (11), Cargo loss (4).

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

Pedestrian/Cyclist Action

Among the 21 pedestrians involved in crashes, several contributing actions were noted. Five pedestrians were recorded as being in the roadway improperly, while four were cited for failure to yield the right-of-way. In four other cases, no improper action was attributed to the pedestrian.

Pedestrian/Cyclist Action

1
In Roadway Improperly (Standing, Lying, Working, Playing)5 (25%)
2
No Improper Action4 (20%)
3
Failure to Yield Right-Of-Way4 (20%)
4
Not Visible (Dark Clothing, No Lighting, etc.)3 (15%)
5
Other2 (10%)
6
Dart/Dash1 (5%)
7
Disabled Vehicle Related (Working on, Pushing, Leaving/Approaching)1 (5%)

Source: Connecticut Crash Data · Csv Open Data · 2018-01-01 to 2018-12-31 · Non-motorist records linked to crash events

Manner of Collision

The most prevalent type of collision was front-to-rear, which accounted for 867 crashes, or 32.1% of all incidents with a specified collision manner. Angle collisions were the second most common type, with 539 incidents, representing 19.9% of the total.

Manner of Collision

"Other" combines 1 smaller categories (21 records): Rear to rear (21).

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

Person Type

Of the 6,370 individuals involved in crashes, the majority were drivers, accounting for 4,628 people (72.7%). Passengers made up the next largest group with 1,401 individuals (22.0%). The data also includes 21 pedestrians and 4 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 6,370 people involved in crashes, 16 individuals sustained fatal injuries (0.25%). A total of 820 people, or 12.9%, suffered some level of injury, ranging from possible to serious. The vast majority, 5,245 people, 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

The vast majority of vehicle occupants (5,169) were reported to have used a shoulder and lap belt. However, 110 occupants were recorded as not using any safety restraint at the time of their crash. This represents approximately 2.0% of occupants for whom restraint use was documented.

Occupant Safety Equipment

"Other" combines 3 smaller categories (27 records): Lap Belt Only Used (14), Other (10), Child Restraint, Type Unknown (3).

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 crashes, with 1,784 occurrences. Single-vehicle crashes were also frequent, accounting for 778 incidents or 28.8% of the total. Crashes involving three or more vehicles were less common, with 140 such events recorded.

Vehicles Per Crash

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

Data Sources & Methodology

Primary Data Source

All crash data in this report is sourced from Connecticut Crash Data, accessed programmatically via the Csv Open Data API (SODA). This dataset contains official police-reported motor vehicle traffic crash records maintained by the reporting jurisdiction's law enforcement agency. Records are published to the open data portal by the municipality and are subject to the portal's terms of use.

Data Retrieval

  • Access method: Csv Open Data API (SoQL queries)
  • Data format: Structured JSON via REST API
  • Record types queried: Crash events, person records, and vehicle unit records
  • Date filter applied: 2018-01-01 through 2018-12-31
  • Report generated: August 21, 2026

Data Coverage

  • Reporting period: 2018-01-01 through 2018-12-31 (365 days)
  • Geographic scope: connecticut, CT
  • Total crash records analyzed: 2,703
  • Total persons involved: 6,370
  • Total vehicles involved: 4,786

Analytical Methodology

  • Severity classification: Uses the KABCO injury scale (K=Fatal, A=Incapacitating injury, B=Non-incapacitating injury, C=Possible injury, O=No injury/property damage only), the standard classification in U.S. Model Minimum Uniform Crash Criteria (MMUCC). Severity is assigned per crash event based on the most severe injury in that crash. A single fatal crash (K) may involve multiple fatalities; therefore the "Persons Killed" count in the headline KPIs may differ from the "Fatal" crash count in the severity breakdown.
  • Contributing factors: Reflect the officer-determined primary contributory cause recorded at the time of the crash report. These are preliminary determinations and may not reflect final investigation findings.
  • Hit-and-run classification: Based on the hit-and-run indicator field in the official crash report, as determined by the responding officer at the scene.
  • Temporal analysis: Day-of-week and hour-of-day distributions are computed from the crash date/time timestamp in each record.
  • Demographics: Age and sex distributions are drawn from person-level records linked to each crash event. A single crash may involve multiple persons.
  • Vehicle data: Make information is drawn from vehicle unit records linked to each crash event.
  • AI commentary: Narrative sections are generated by Google Gemini (large language model) based on the structured data. Commentary is descriptive, not predictive, and should not be interpreted as expert opinion.

Limitations & Disclaimers

  • Only crashes reported to and documented by law enforcement are included. Minor incidents, unreported crashes, and near-misses are not captured in this dataset.
  • Data reflects conditions at the time of the initial police report and may be subject to subsequent corrections, reclassifications, or supplements by the reporting agency.
  • Open data portal records may experience a publication lag - recently occurring crashes may not yet appear in the dataset at the time of report generation.
  • AI-generated commentary is produced by a large language model and is intended to highlight patterns in the data. It does not constitute legal, medical, or professional analysis.
  • Percentages are calculated from reported data and are subject to rounding.

Non-Affiliation Disclosure

This report is produced independently by ThatCarHitMe.com (Injuria.ai). It is not affiliated with, endorsed by, or produced in partnership with any law enforcement agency, municipal government, state department of transportation, or the National Highway Traffic Safety Administration (NHTSA). Data is sourced from publicly available government open data portals.

Data License

The underlying crash data is provided under the municipality's Open Data Terms of Use and is made available to the public for unrestricted use. This analysis and report is © 2026 Injuria.ai and may be cited with attribution using the suggested citation below.

Corrections & Feedback

If you believe any data in this report is inaccurate or have questions about our methodology, please contact: data@injuria.ai. We are committed to accuracy and will issue corrections promptly.

Suggested Citation

ThatCarHitMe.com (Injuria.ai). "connecticut, CT Crash Intelligence Report: 2018." Published August 21, 2026. Reporting period: 2018-01-01 to 2018-12-31. Data source: Connecticut Crash Data, Csv Open Data. Available at: https://thatcarhitme.com/crash-data/connecticut/statewide/2018-annual-report

About the Publisher

ThatCarHitMe.com is a crash data intelligence platform developed by Injuria.ai, a legal technology company specializing in traffic safety analytics. We aggregate and analyze publicly available government crash data to produce structured intelligence reports for communities, researchers, journalists, and legal professionals. Our reports combine programmatic data retrieval from official open data portals with AI-assisted narrative analysis.

Questions about this report's data or methodology: data@injuria.ai

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