Monthly Traffic Safety Analysis

26 CRASHES IN
EAST BRIDGEWATER, MA
APRIL 2026

All metrics benchmarked againstApril 2025

In April 2026, EAST BRIDGEWATER experienced 26 crashes, a stable figure compared to the 26 crashes recorded in April 2025. While total crash volume remained unchanged, there was a notable 38.46% decrease in total injuries, falling from 13 in the prior year to 8 in the current period. Additionally, DUI-related crashes saw a significant 66.67% reduction, dropping from 3 to 1.

26

Total Crash Events

0

Persons Killed

8

-38.5%was 13

Persons Injured

0

-100.0%was 1

Hit-and-Run Crashes

Note: "Persons Killed" (0) counts individual fatalities across all crash events. "Fatal" in the severity table below (0) counts crash events where at least one fatality occurred. A single crash can result in multiple fatalities.

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2026-04-01 to 2026-04-30 · Aggregate counts from crash, person, and vehicle records

Trend Summary

The overall number of crashes in EAST BRIDGEWATER remained stable year-over-year, with 26 crashes reported in both April 2026 and April 2025. Despite the consistent crash count, there was a positive trend in injury reduction, with total injuries decreasing by 38.46% from 13 to 8.

Vulnerable Road User Casualties

0

Motorists Killed

Prior: 00.0%

8

Motorists Injured

Prior: 13-38.5%

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2026-04-01 to 2026-04-30 · Mode classified from person records (driver/passenger → motorist; pedestrian; bicyclist → cyclist; in-line skater / unspecified → other)

When Crashes Happen

The temporal distribution of crashes shifted notably year-over-year. The peak day for crashes moved from Saturday (9 crashes) in April 2025 to Wednesday (10 crashes) in April 2026. Similarly, the peak hour for crashes shifted from 4 PM (3 crashes) in the prior period to 12 PM (4 crashes) in the current period.

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2026-04-01 to 2026-04-30 · Crash date field aggregated by weekday

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2026-04-01 to 2026-04-30 · Crash time field aggregated by hour (0-23)

Crash Severity Breakdown

Fatal crashes remained at zero in both April 2026 and April 2025. The overall injury landscape improved, with total injuries decreasing from 13 to 8, representing a 38.46% reduction. Crashes resulting in 'No Injury' increased their share from 61.5% to 76.9%, while the share of 'Minor Injury' crashes decreased from 30.8% to 19.2% and 'Possible Injury' crashes decreased from 7.7% to 3.8%.

Outcome by Severity (Crash Events)

Minor Injury5minor injury crashes19.2%
-37.5%prior 8
Possible Injury1possible injury crashes3.8%
-50.0%prior 2
No Injury20no injury crashes76.9%
25.0%prior 16

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2026-04-01 to 2026-04-30 · KABCO injury classification scale

Severity Distribution (Crash Events)

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2026-04-01 to 2026-04-30 · Most severe injury per crash record

Top Contributing Factors

The leading contributing factors saw significant shifts year-over-year. 'Inattention' crashes increased by 200%, rising from 2 in April 2025 to 6 in April 2026, becoming the top factor. Conversely, 'No improper driving' crashes decreased by 33.33%, falling from 6 to 4, and 'Failed to yield right of way' crashes decreased by 25%, from 4 to 3.

Officer-Reported Primary Contributing Cause

Inattention6 (23.1%)
No improper driving4 (15.4%)-33.3%prior 6
Followed too closely3 (11.5%)
Failed to yield right of way3 (11.5%)
Operating vehicle in erratic, reckless, careless, negligent or aggressive manner2 (7.7%)
Swerving or avoiding due to wind, slippery surface, vehicle, object, vulnerable user in roadway1 (3.8%)
Visibility obstructed1 (3.8%)
Disregarded traffic signs, signals, road markings1 (3.8%)
Distracted1 (3.8%)
Failure to keep in proper lane or running off road1 (3.8%)

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2026-04-01 to 2026-04-30 · Officer-reported primary contributory cause per crash

Road & Environmental Conditions

Crashes occurring in clear weather conditions increased from 16 to 20 year-over-year, while crashes on wet road surfaces significantly decreased from 9 to 2. Daylight crashes remained stable at 19 for both periods. Rain-related crashes also decreased, with 7 such incidents in April 2025 compared to 1 in April 2026.

Weather

Clear20 (76.9%)
25.0%prior 16
Cloudy3 (11.5%)
Clear/Other1 (3.8%)
Cloudy/Other1 (3.8%)
Rain1 (3.8%)

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2026-04-01 to 2026-04-30 · Weather condition at time of crash

Lighting

Daylight19 (73.1%)
0.0%prior 19
Dark - lighted roadway4 (15.4%)
Dawn2 (7.7%)
Dusk1 (3.8%)

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2026-04-01 to 2026-04-30 · Lighting condition field

Road Surface

Dry24 (92.3%)
41.2%prior 17
Wet2 (7.7%)
-77.8%prior 9

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2026-04-01 to 2026-04-30 · Road surface condition field

Vehicles & Demographics

Top Vehicle Makes (45 vehicles)

1
HONDA9 (20%)
2
JEEP5 (11.1%)
3
FORD5 (11.1%)
4
TOYOTA4 (8.9%)
-55.6%prior 9
5
NISSAN4 (8.9%)
6
CHEVROLET3 (6.7%)
7
HYUNDAI2 (4.4%)
8
GMC2 (4.4%)
9
RIVA2 (4.4%)
10
SUBARU2 (4.4%)

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2026-04-01 to 2026-04-30 · Vehicle unit records

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

Sex Distribution (51 persons with recorded sex)

Male36 (70.6%)
50.0%prior 24
Female15 (29.4%)
-25.0%prior 20

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2026-04-01 to 2026-04-30 · Person-level records linked to crash events

Speed Limit Zones

There was a notable shift in crash distribution across speed zones year-over-year. Crashes in the 30 mph zone saw a substantial increase, rising from 3 in April 2025 to 12 in April 2026. Conversely, crashes in the 35 mph zone decreased from 10 to 6, and crashes in the 40 mph zone decreased from 5 to 3. No fatalities were recorded in any speed zone during either period.

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2026-04-01 to 2026-04-30 · Posted speed limit at crash location

Data Sources & Methodology

Primary Data Source

All crash data in this report is sourced from Massachusetts Crash Data (MassDOT CDV), accessed programmatically via the Arcgis_yearly 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: Arcgis_yearly 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: 2026-04-01 through 2026-04-30
  • Report generated: June 21, 2026

Data Coverage

  • Reporting period: 2026-04-01 through 2026-04-30 (30 days)
  • Geographic scope: EAST BRIDGEWATER, MA
  • Total crash records analyzed: 26
  • Total persons involved: 52
  • Total vehicles involved: 45

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). "EAST BRIDGEWATER, MA Crash Intelligence Report: April 2026." Published June 21, 2026. Reporting period: 2026-04-01 to 2026-04-30. Data source: Massachusetts Crash Data (MassDOT CDV), Arcgis_yearly Open Data. Available at: https://thatcarhitme.com/crash-data/massachusetts/east-bridgewater/april-2026-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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East Bridgewater, MA Crash Report — April 2026 | ThatCarHitMe.com