Monthly Traffic Safety Analysis

42 CRASHES IN
BRIDGEWATER, MA
MARCH 2025

All metrics benchmarked againstMarch 2024

Total crashes in Bridgewater, MA decreased by 8.7% from 46 in March 2024 to 42 in March 2025. Total injuries also saw a significant reduction, dropping by 25% from 16 to 12. A notable shift was the 80% decrease in speeding-related crashes, falling from 5 to 1.

42

-8.7%was 46

Total Crash Events

0

Persons Killed

12

-25.0%was 16

Persons Injured

1

-50.0%was 2

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. 1 crash with unreported severity is not shown in the severity breakdown.

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2025-03-01 to 2025-03-31 · Aggregate counts from crash, person, and vehicle records

Trend Summary

Overall crash data for March shows a downward trend year-over-year in Bridgewater, MA. Total crashes decreased by 8.7%, from 46 in March 2024 to 42 in March 2025. Similarly, total injuries decreased by 25%, falling from 16 to 12 during the same period.

1

Hit-and-Run Crashes — March 2025

-50.0% vs prior (2)

Hit-and-run crashes decreased by 1, from 2 incidents in March 2024 to 1 in March 2025. The hit-and-run rate also decreased from 4.3% to 2.4% year-over-year.

Vulnerable Road User Casualties

0

Cyclists Killed

Prior: 00.0%

0

Motorists Killed

Prior: 00.0%

1

Cyclists Injured

Prior: 0%

11

Motorists Injured

Prior: 16-31.3%

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2025-03-01 to 2025-03-31 · Mode classified from person records (driver/passenger → motorist; pedestrian; bicyclist → cyclist; in-line skater / unspecified → other)

When Crashes Happen

The peak day for crashes shifted from Wednesday in March 2024 with 10 incidents to Sunday in March 2025 with 11 incidents. The peak crash hour also moved, occurring at 7 p.m. with 6 crashes in the prior year and at 5 p.m. with 6 crashes in the current year. This indicates a shift in the most frequent crash times and days.

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2025-03-01 to 2025-03-31 · Crash date field aggregated by weekday

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2025-03-01 to 2025-03-31 · Crash time field aggregated by hour (0-23)

Crash Severity Breakdown

There were no fatal crashes in either March 2024 or March 2025. The number of serious injury crashes (Severity A) increased from 1 to 2, representing a 100% increase. Conversely, minor injury crashes (Severity B) decreased from 7 to 5, and possible injury crashes (Severity C) decreased from 5 to 1.

Outcome by Severity (Crash Events)

Serious Injury2serious injury crashes4.8%
100.0%prior 1
Minor Injury5minor injury crashes11.9%
-28.6%prior 7
Possible Injury1possible injury crashes2.4%
-80.0%prior 5
No Injury33no injury crashes78.6%
6.5%prior 31

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2025-03-01 to 2025-03-31 · KABCO injury classification scale

Severity Distribution (Crash Events)

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2025-03-01 to 2025-03-31 · Most severe injury per crash record

Top Contributing Factors

The factor 'No improper driving' increased by 3 crashes, from 10 in March 2024 to 13 in March 2025. 'Failed to yield right of way' and 'Followed too closely' both increased by 1 crash each, from 8 to 9 and 7 to 8 respectively. Notably, 'Driving too fast for conditions' decreased by 2 crashes, from 3 to 1, and 'Exceeded authorized speed limit' decreased by 2 crashes, from 2 to 0.

Officer-Reported Primary Contributing Cause

No improper driving13 (31%)30.0%prior 10
Failed to yield right of way9 (21.4%)12.5%prior 8
Followed too closely8 (19%)14.3%prior 7
Failure to keep in proper lane or running off road4 (9.5%)
Swerving or avoiding due to wind, slippery surface, vehicle, object, vulnerable user in roadway1 (2.4%)
Visibility obstructed1 (2.4%)
Wrong side or wrong way1 (2.4%)
Distracted1 (2.4%)
Driving too fast for conditions1 (2.4%)
Glare1 (2.4%)

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2025-03-01 to 2025-03-31 · Officer-reported primary contributory cause per crash

Road & Environmental Conditions

Crashes occurring in 'Clear' weather conditions increased from 22 to 33, while those in 'Rain' decreased significantly from 10 to 2. The proportion of crashes on 'Dry' road surfaces increased from 52.2% to 83.3%, correlating with a substantial decrease in crashes on 'Wet' surfaces, which fell from 22 to 7. Crashes occurring in 'Dark - lighted roadway' conditions increased from 5 to 12.

Weather

Clear33 (78.6%)
50.0%prior 22
Clear/Other3 (7.1%)
Rain2 (4.8%)
-80.0%prior 10
Rain/Cloudy1 (2.4%)
Cloudy/Rain1 (2.4%)
Cloudy1 (2.4%)
Fog, smog, smoke1 (2.4%)

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2025-03-01 to 2025-03-31 · Weather condition at time of crash

Lighting

Daylight27 (64.3%)
-15.6%prior 32
Dark - lighted roadway12 (28.6%)
140.0%prior 5
Dark - roadway not lighted1 (2.4%)
-83.3%prior 6
Dark - unknown roadway lighting1 (2.4%)
Dusk1 (2.4%)

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2025-03-01 to 2025-03-31 · Lighting condition field

Road Surface

Dry35 (83.3%)
45.8%prior 24
Wet7 (16.7%)
-68.2%prior 22

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2025-03-01 to 2025-03-31 · Road surface condition field

Vehicles & Demographics

The total number of vehicles involved in crashes decreased from 88 in March 2024 to 69 in March 2025. Among top makes, Toyota vehicles involved in crashes increased from 9 to 12, while Chevrolet saw a decrease from 12 to 4. Honda vehicles involved decreased from 11 to 8, and Nissan vehicles decreased from 10 to 6.

Top Vehicle Makes (69 vehicles)

1
TOYOTA12 (17.4%)
33.3%prior 9
2
FORD8 (11.6%)
0.0%prior 8
3
HONDA8 (11.6%)
-27.3%prior 11
4
NISSAN6 (8.7%)
-40.0%prior 10
5
HYUNDAI5 (7.2%)
6
GMC4 (5.8%)
7
CHEVROLET4 (5.8%)
-66.7%prior 12
8
KIA4 (5.8%)
9
MAZDA2 (2.9%)
10
LEXUS2 (2.9%)

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2025-03-01 to 2025-03-31 · Vehicle unit records

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

Sex Distribution (87 persons with recorded sex)

Male52 (59.8%)
-5.5%prior 55
Female35 (40.2%)
-27.1%prior 48

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2025-03-01 to 2025-03-31 · Person-level records linked to crash events

Speed Limit Zones

Crashes in the 65 mph speed limit zone significantly decreased from 11 in March 2024 to 2 in March 2025. Crashes in the 30 mph zone saw a slight increase from 16 to 17, and in the 40 mph zone, crashes increased from 5 to 7. There were no fatal crashes reported in any speed limit zone during either period.

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2025-03-01 to 2025-03-31 · 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: 2025-03-01 through 2025-03-31
  • Report generated: June 21, 2026

Data Coverage

  • Reporting period: 2025-03-01 through 2025-03-31 (31 days)
  • Geographic scope: BRIDGEWATER, MA
  • Total crash records analyzed: 42
  • Total persons involved: 90
  • Total vehicles involved: 69

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). "BRIDGEWATER, MA Crash Intelligence Report: March 2025." Published June 21, 2026. Reporting period: 2025-03-01 to 2025-03-31. Data source: Massachusetts Crash Data (MassDOT CDV), Arcgis_yearly Open Data. Available at: https://thatcarhitme.com/crash-data/massachusetts/bridgewater/march-2025-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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Bridgewater, MA Crash Report — March 2025 | ThatCarHitMe.com