Yearly Traffic Safety Analysis

5,535 CRASHES IN
BRIDGEPORT, CT
2015

In 2015, Bridgeport recorded 5,535 total traffic crashes, resulting in 2 fatalities and 2,085 injuries. The most common type of collision was the front-to-rear crash, which accounted for 34.4% of all incidents where the manner of collision was documented. These incidents involved a total of 11,054 vehicles and 14,393 individuals.

5,535

Total Crash Events

2

Persons Killed

2,085

Persons Injured

13.4%

Hit-and-Run Rate

Note: "Persons Killed" (2) counts individual fatalities across all crash events. "Fatal" in the severity table below (2) counts crash events where at least one fatality occurred. A single crash can result in multiple fatalities.

Source: Connecticut Crash Data Repository · Open Data · 2015-01-01 to 2015-12-31 · Aggregate counts from crash, person, and vehicle records

740

Hit-and-Run Crashes — 2015

Based on the responding officer's initial determination, 740 crashes in 2015 were classified as hit-and-run incidents. This represents 13.4% of all crashes recorded in Bridgeport during this period.

Vulnerable Road User Casualties

In 2015, vehicle motorists represented the largest group of individuals injured, with 1 motorist killed and 1,931 injured. Vulnerable road users also experienced significant harm, with 1 pedestrian killed and 109 injured. Additionally, 45 cyclists were injured, though no cyclist fatalities were recorded.

1

Pedestrians Killed

0

Cyclists Killed

1

Motorists Killed

109

Pedestrians Injured

45

Cyclists Injured

1,931

Motorists Injured

Source: Connecticut Crash Data Repository · Open Data · 2015-01-01 to 2015-12-31 · Mode classified from person records (driver/passenger → motorist; pedestrian; bicyclist → cyclist; in-line skater / unspecified → other)

When Crashes Happen

Crashes in Bridgeport occurred most frequently on Fridays, which saw 848 incidents in 2015. The single busiest hour for crashes was 5 p.m., with 432 events. A majority of crashes, 3,778 in total, happened during daylight hours.

Source: Connecticut Crash Data Repository · Open Data · 2015-01-01 to 2015-12-31 · Crash date field aggregated by weekday

Source: Connecticut Crash Data Repository · Open Data · 2015-01-01 to 2015-12-31 · Crash time field aggregated by hour (0-23)

Crash Severity Breakdown

Of the 5,535 total crashes, the majority (74.9% or 4,144 incidents) resulted in no injuries. Crashes involving possible, minor, or serious injuries accounted for a combined 1,389 incidents. There were 2 fatal crashes recorded, which resulted in a total of 2 fatalities.

Outcome by Severity (Crash Events)

Fatal2fatal crashes0%
Serious Injury75serious injury crashes1.4%
Minor Injury456minor injury crashes8.2%
Possible Injury858possible injury crashes15.5%
No Injury4,144no injury crashes74.9%

Source: Connecticut Crash Data Repository · Open Data · 2015-01-01 to 2015-12-31 · KABCO injury classification scale

Severity Distribution (Crash Events)

Source: Connecticut Crash Data Repository · Open Data · 2015-01-01 to 2015-12-31 · Most severe injury per crash record

Road & Environmental Conditions

The vast majority of crashes occurred in favorable conditions, with 84% (4,647) happening in clear weather and 81% (4,478) on dry road surfaces. Daylight conditions were present for 3,778 crashes. Adverse conditions such as rain were noted in 413 crashes, while 687 crashes occurred on wet roads.

Weather

Clear4,647 (84.7%)
Rain413 (7.5%)
Snow198 (3.6%)
Cloudy140 (2.6%)
Fog, Smog, Smoke28 (0.5%)
Other17 (0.3%)
Blowing Sand, Soil, Dirt15 (0.3%)
Sleet or Hail12 (0.2%)
Blowing Snow12 (0.2%)
Freezing Rain or Freezing Drizzle4 (0.1%)

Source: Connecticut Crash Data Repository · Open Data · 2015-01-01 to 2015-12-31 · Weather condition at time of crash

Lighting

Daylight3,778 (68.8%)
Dark-Lighted1,380 (25.1%)
Dark-Not Lighted206 (3.8%)
Dusk65 (1.2%)
Dawn31 (0.6%)
Dark-Unknown Lighting21 (0.4%)
Other8 (0.1%)

Source: Connecticut Crash Data Repository · Open Data · 2015-01-01 to 2015-12-31 · Lighting condition field

Road Surface

Dry4,478 (81.5%)
Wet687 (12.5%)
Snow175 (3.2%)
Ice / Frost71 (1.3%)
Slush65 (1.2%)
Other6 (0.1%)
Mud, Dirt, Gravel4 (0.1%)
Sand3 (0.1%)
Moving Water2 (0.0%)
Oil1 (0.0%)

Source: Connecticut Crash Data Repository · Open Data · 2015-01-01 to 2015-12-31 · Road surface condition field

Vehicles & Demographics

Among all individuals involved in crashes, the 26-34 age group was the most represented, with 2,490 people. Analysis of the 11,054 vehicles involved shows the most frequent makes recorded were Honda (1,077), Ford (1,049), and Nissan (752).

Top Vehicle Makes (11,054 vehicles)

1
HONDA1,077 (9.7%)
2
FORD1,049 (9.5%)
3
NISSAN752 (6.8%)
4
TOYOTA675 (6.1%)
5
CHEVY390 (3.5%)
6
DODGE390 (3.5%)
7
NISSA322 (2.9%)
8
JEEP310 (2.8%)
9
TOYOT305 (2.8%)
10
BMW252 (2.3%)

Source: Connecticut Crash Data Repository · Open Data · 2015-01-01 to 2015-12-31 · Vehicle unit records

1,734 persons with unknown or unrecorded age excluded from age chart.

Sex Distribution (12,854 persons with recorded sex)

Male7,216 (56.1%)
Female5,638 (43.9%)

Source: Connecticut Crash Data Repository · Open Data · 2015-01-01 to 2015-12-31 · Person-level records linked to crash events

Speed Limit Zones

The highest number of crashes, 1,504, occurred in zones with a posted speed limit of 25 mph. Both of the year's fatal crashes also took place in 25 mph zones, where 0.133% of crashes were fatal. A significant number of crashes (1,237) occurred in areas recorded with a 1 mph speed limit, often indicating parking lots or other non-roadway locations.

Fatal crashes by zone: 25 mph: 2 of 1,504 (0.133%)

Source: Connecticut Crash Data Repository · Open Data · 2015-01-01 to 2015-12-31 · Posted speed limit at crash location

Road Class

Based on available data, Minor Arterials were the site of the most crashes with 165 incidents. Limited-access highways, including Interstates and Freeways/Expressways, accounted for a combined 99 crashes. Local roads saw 89 crashes, while Collectors and Principal Arterials had 56 and 39 crashes, respectively.

Road Class

Source: Connecticut Crash Data Repository · Open Data · 2015-01-01 to 2015-12-31 · Crash-level records

Route System

Crashes were most prevalent on local roads, which accounted for 3,197 incidents. State-maintained routes, including State, US, and Interstate highways, were the location for a combined 1,916 crashes. This indicates that crashes on locally-owned roadways were more frequent than those on roadways under state jurisdiction.

Route System

Source: Connecticut Crash Data Repository · Open Data · 2015-01-01 to 2015-12-31 · Crash-level records

Public vs Private Road

Among crashes where the roadway ownership was recorded, the vast majority (5,196) occurred on public roads. A smaller number of incidents, 204 crashes, took place on private property such as parking lots or private drives. This represents approximately 3.8% of crashes with known ownership data.

Junction Type

Crashes occurred almost equally between intersection and non-intersection locations. A total of 2,712 crashes were recorded as 'Not at Intersection.' The remaining 2,807 crashes occurred at various junction types, with four-way intersections being the most common (1,643 incidents), followed by T-intersections (994 incidents).

Junction Type

1
Not at Intersection2,712 (49.1%)
2
Four-Way Intersection1,643 (29.8%)
3
T-Intersection994 (18%)
4
Five-Point, or More82 (1.5%)
5
Y-Intersection70 (1.3%)
6
L-Intersection18 (0.3%)

Source: Connecticut Crash Data Repository · Open Data · 2015-01-01 to 2015-12-31 · Crash-level records

Run-off-Road / Fixed-Object Strikes

For crashes involving a collision with a fixed object, the most frequently struck items were categorized as 'Other Fixed Object' like walls or buildings (84 incidents). This was followed by utility poles or light supports (56 incidents) and concrete traffic barriers (47 incidents). Collisions with poles and trees combined accounted for 100 of these crashes.

Run-off-Road / Fixed-Object Strikes

1
Other Fixed Object (wall, building, tunnel, etc.)84 (22.2%)
2
Utility Pole/Light Support56 (14.8%)
3
Concrete Traffic Barrier47 (12.4%)
4
Guardrail Face31 (8.2%)
5
Curb28 (7.4%)
6
Fence25 (6.6%)
7
Tree (standing)23 (6.1%)
8
Other Post, Pole or Support21 (5.6%)
9
Embankment12 (3.2%)

Showing top 9 of 21 reported. 12 additional (51 total) not shown: Other Traffic Barrier, Ditch, Traffic Sign Support, Cable Barrier, Bridge Rail, Bridge Overhead Structure, Traffic Signal Support, Impact Attenuator/Crash Cushion, Bridge Pier or Support, Mailbox, Guardrail End, Culvert.

Source: Connecticut Crash Data Repository · Open Data · 2015-01-01 to 2015-12-31 · Crash-level records

Vehicle Type

Passenger cars were the most common vehicle type involved in crashes, accounting for 8,091 of all vehicles recorded. (Sport) Utility Vehicles were the next most frequent with 1,229 vehicles. The data also includes 173 medium or heavy trucks, 135 buses of various types, and 37 motorcycles.

Vehicle Type

1
Passenger Car8,091 (74.2%)
2
(Sport) Utility Vehicle1,229 (11.3%)
3
Pick Up529 (4.9%)
4
Passenger Van418 (3.8%)
5
Medium / Heavy Trucks (more than 10,000 lbs (4,536 kg))173 (1.6%)
6
Other Light Trucks (10,000 lbs (4,536 kg) or less)99 (0.9%)
7
Other87 (0.8%)
8
Cargo Van (10,000 lbs/4,536 kg or less)78 (0.7%)
9
School Bus76 (0.7%)

Showing top 9 of 18 reported. 9 additional (121 total) not shown: Transit Bus, Motorcycle, Moped, Other Bus, Motor Home, Motor Coach, All Terrain Vehicle (ATV), Low Speed Vehicle, Golf Cart.

Source: Connecticut Crash Data Repository · Open Data · 2015-01-01 to 2015-12-31 · Vehicle unit records

Traffic Control Device

Analysis of traffic controls at crash locations indicates that the majority of vehicles were involved in incidents where no control device was present (7,602 vehicles). Traffic signals were present for 2,217 vehicles involved in crashes, while stop signs were a factor for 979 vehicles. This suggests a higher volume of crashes occur at uncontrolled locations compared to signalized intersections.

Traffic Control Device

"Other" combines 3 smaller categories (9 records): Warning Sign (4), Marked Uncontrolled Crosswalk (4), Person (including flagger, law enforcement, crossing guard, etc.) (1).

Source: Connecticut Crash Data Repository · Open Data · 2015-01-01 to 2015-12-31 · Vehicle unit records

Vulnerable Road Users & Motorcycles

A total of 207 crashes involved vulnerable road users or motorcyclists. Pedestrians were involved in 118 of these crashes, and bicyclists were involved in 52. Together, these two vulnerable road user groups accounted for 170 incidents, representing the majority of crashes in this category.

Driver Contributing Action

Among drivers for whom a contributing action was cited, the most common was 'Followed Too Closely,' which was noted for 1,092 drivers. Other frequent actions included 'Failed to Keep in Proper Lane' (593 drivers), 'Failed to Yield Right-of-Way' (513 drivers), and 'Improper Backing' (454 drivers).

Driver Contributing Action

1
No Contributing Action5,484 (58.3%)
2
Followed Too Closely1,092 (11.6%)
3
Failed to Keep in Proper Lane593 (6.3%)
4
Failed to Yield Right-of-Way513 (5.5%)
5
Improper Backing454 (4.8%)
6
Other Contributing Action450 (4.8%)
7
Improper Turn158 (1.7%)
8
Improper Passing145 (1.5%)
9
Ran Stop Sign143 (1.5%)

Showing top 9 of 18 reported. 9 additional (376 total) not shown: Operated Motor Vehicle in Inattentive, Careless, Negligent, or Erratic Manner, Ran Red Light, Ran Off Roadway, Swerved or Avoided Due to Wind, Slippery Surface, Motor Vehicle, Object, Non-Motorist in Roadway, etc., Operated Motor Vehicle in Reckless or Aggressive Manner, Wrong Side or Wrong Way, Disregarded Other Traffic Sign, Over-Correcting/Over-Steering, Disregarded Other Road Markings.

Source: Connecticut Crash Data Repository · Open Data · 2015-01-01 to 2015-12-31 · Person-level records linked to crash events

Driver Condition

While the majority of drivers were recorded as 'Apparently Normal,' several other conditions were cited. Being 'Under the Influence of Medications/Drugs/Alcohol' was noted for 59 drivers. An additional 40 drivers were identified as 'Asleep or Fatigued,' and 33 were noted as being 'Emotional'.

Driver Condition

1
Apparently Normal8,945 (97.9%)
2
Under the Influence of Medications/Drugs/Alcohol59 (0.6%)
3
Asleep or Fatigued40 (0.4%)
4
Emotional (depressed, angry, disturbed, etc.)33 (0.4%)
5
Other23 (0.3%)
6
Physically Impaired20 (0.2%)
7
Ill (sick), Fainted20 (0.2%)

Source: Connecticut Crash Data Repository · Open Data · 2015-01-01 to 2015-12-31 · Person-level records linked to crash events

Pre-Crash Driver Action

The most common pre-crash action for vehicles was 'Straight Ahead,' accounting for 5,432 vehicles, or nearly half of all involved. A significant number of vehicles, 1,469, were parked when the collision occurred. An additional 712 vehicles were stopped in traffic prior to being involved in a crash.

Pre-Crash Driver Action

1
Straight Ahead5,432 (49.9%)
2
Parked1,469 (13.5%)
3
Stopped in Traffic712 (6.5%)
4
Backing711 (6.5%)
5
Turning Left683 (6.3%)
6
Slowing538 (4.9%)
7
Turning Right351 (3.2%)
8
Changing Lanes242 (2.2%)
9
Overtaking/Passing216 (2%)

Showing top 9 of 16 reported. 7 additional (539 total) not shown: Other, Entering Traffic Lane, Negotiating a Curve, Making U-Turn, Leaving Traffic Lane, Wrong way (or Wrong Side), Overtaking/Passing Cyclist.

Source: Connecticut Crash Data Repository · Open Data · 2015-01-01 to 2015-12-31 · Vehicle unit records

Point of Impact

The front of the vehicle was the most common point of impact, with 3,379 vehicles being struck in the 'Sector 12 (North)' area. The rear of the vehicle, 'Sector 6 (South),' was the second most frequent impact point, recorded for 2,271 vehicles. These two areas represent the initial point of impact for the majority of vehicles in collisions.

Point of Impact

"Other" combines 9 smaller categories (1,647 records): Sector 5 (South by SouthEast) in the 12-point Clock Diagram (377), Sector 9 (West) in the 12-point Clock Diagram (358), Sector 3 (East) in the 12-point Clock Diagram (310), Sector 4 (SouthEast) in the 12-point Clock Diagram (231), Sector 8 (SouthWest) in the 12-point Clock Diagram (209), Top (76), Non-Collision (72), Undercarriage (12), Cargo loss (2).

Source: Connecticut Crash Data Repository · Open Data · 2015-01-01 to 2015-12-31 · Vehicle unit records

Pedestrian/Cyclist Action

For crashes involving pedestrians where an action was recorded, 95 individuals were determined to have taken 'No Improper Action.' Among improper actions cited, 'Failure to Yield Right-Of-Way' was noted for 13 pedestrians, and 'Dart/Dash' into the roadway was recorded for 9 pedestrians. Another 16 incidents were attributed to 'Other' unspecified actions.

Pedestrian/Cyclist Action

1
No Improper Action95 (60.5%)
2
Other16 (10.2%)
3
Failure to Yield Right-Of-Way13 (8.3%)
4
Dart/Dash9 (5.7%)
5
In Roadway Improperly (Standing, Lying, Working, Playing)8 (5.1%)
6
Wrong-Way Riding or Walking5 (3.2%)
7
Not Visible (Dark Clothing, No Lighting, etc.)4 (2.5%)
8
Failure to Obey Traffic Signs, Signals, or Officer4 (2.5%)
9
Inattentive (Talking, Eating, etc.)1 (0.6%)

Showing top 9 of 11 reported. 2 additional (2 total) not shown: Improper Passing, Entering/Exiting Parked/Standing Vehicle.

Source: Connecticut Crash Data Repository · Open Data · 2015-01-01 to 2015-12-31 · Non-motorist records linked to crash events

Manner of Collision

The most prevalent manner of collision was 'Front to rear,' which accounted for 1,902 incidents, or 34.4% of crashes with a recorded collision type. Angle collisions were the second most common, with 1,223 incidents (22.1%), followed by same-direction sideswipes at 950 incidents (17.2%).

Manner of Collision

"Other" combines 1 smaller categories (52 records): Front to front (52).

Source: Connecticut Crash Data Repository · Open Data · 2015-01-01 to 2015-12-31 · Crash-level records

Person Type

Of the 14,393 people involved in crashes, the vast majority were drivers, accounting for 10,054 individuals. Passengers made up the second-largest group with 3,825 people. The data also includes 123 pedestrians and 52 bicyclists involved in these incidents.

Person Type

Source: Connecticut Crash Data Repository · Open Data · 2015-01-01 to 2015-12-31 · Crash-level records

Person Injury Severity

Across all individuals involved in crashes, 2 people sustained fatal injuries and 2,085 people suffered some level of injury, ranging from possible to serious. The majority of individuals, 12,040 people, were recorded as having no injuries following the incidents.

Person Injury Severity

Source: Connecticut Crash Data Repository · Open Data · 2015-01-01 to 2015-12-31 · Crash-level records

Occupant Safety Equipment

Among vehicle occupants where safety equipment use was documented, 8,165 individuals were reported as using both a shoulder and lap belt. A notable 480 occupants were recorded as using no safety restraint at all. An additional 162 occupants were secured in a forward-facing child restraint system.

Occupant Safety Equipment

"Other" combines 3 smaller categories (93 records): Child Restraint System, Rear Facing (43), Other (36), Booster Seat (14).

Source: Connecticut Crash Data Repository · Open Data · 2015-01-01 to 2015-12-31 · Person-level records linked to crash events

Vehicles Per Crash

The majority of crashes involved two vehicles, with 4,629 such incidents recorded. Single-vehicle crashes accounted for 527 incidents, or approximately 9.5% of the total. Multi-vehicle collisions were less common, though the data includes 318 crashes involving three vehicles and one crash involving seven vehicles.

Vehicles Per Crash

Source: Connecticut Crash Data Repository · Open Data · 2015-01-01 to 2015-12-31 · Crash-level records

Data Sources & Methodology

Primary Data Source

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

Data Retrieval

  • Access method: Socrata Open Data API (SoQL queries)
  • Data format: Structured JSON via REST API
  • Record types queried: Crash events, person records, and vehicle unit records
  • Date filter applied: 2015-01-01 through 2015-12-31
  • Report generated: July 5, 2026

Data Coverage

  • Reporting period: 2015-01-01 through 2015-12-31 (365 days)
  • Geographic scope: Bridgeport, CT
  • Total crash records analyzed: 5,535
  • Total persons involved: 14,393
  • Total vehicles involved: 11,054

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). "Bridgeport, CT Crash Intelligence Report: 2015." Published July 5, 2026. Reporting period: 2015-01-01 to 2015-12-31. Data source: Connecticut Crash Data Repository. Available at: https://thatcarhitme.com/crash-data/connecticut/bridgeport/2015-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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