Monthly Traffic Safety Analysis

57 CRASHES IN
BRIDGEWATER, MA
JUNE 2023

All metrics benchmarked againstJune 2022

In June 2023, BRIDGEWATER experienced 57 crashes, a 50% increase from the 38 crashes reported in June 2022. Total injuries also saw a substantial rise, climbing from 14 in the prior year to 24 in the current period, marking a 71.4% increase. Fatalities remained at zero for both periods.

57

50.0%was 38

Total Crash Events

0

Persons Killed

24

71.4%was 14

Persons Injured

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.

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2023-06-01 to 2023-06-30 · Aggregate counts from crash, person, and vehicle records

Trend Summary

Crash data for June 2023 indicates an upward trend in BRIDGEWATER, with total crashes increasing by 50% compared to June 2022, from 38 to 57 incidents. Concurrently, the number of individuals injured in crashes rose by 71.4%, from 14 to 24.

2

Hit-and-Run Crashes — June 2023

3.5% hit-and-run rate this period vs 0.0% prior. Prior period: 0.

Vulnerable Road User Casualties

0

Motorists Killed

Prior: 00.0%

24

Motorists Injured

Prior: 1471.4%

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2023-06-01 to 2023-06-30 · 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 year-over-year; June 2023 saw Friday become the peak day with 15 crashes, up from 2 in June 2022, while Saturday's peak count decreased from 8 to 6. The peak hour for crashes moved from 8 PM (5 crashes) in June 2022 to 4 PM (9 crashes) in June 2023, indicating a shift towards earlier afternoon incidents.

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2023-06-01 to 2023-06-30 · Crash date field aggregated by weekday

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2023-06-01 to 2023-06-30 · Crash time field aggregated by hour (0-23)

Crash Severity Breakdown

Fatal crashes remained at zero in both June 2022 and June 2023. While the number of serious injury crashes remained at 2, minor injury crashes significantly increased from 6 in June 2022 to 17 in June 2023, and possible injury crashes doubled from 1 to 2. Consequently, the proportion of minor injury crashes rose from 15.8% to 29.8% of all incidents.

Outcome by Severity (Crash Events)

Serious Injury2serious injury crashes3.5%
0.0%prior 2
Minor Injury17minor injury crashes29.8%
183.3%prior 6
Possible Injury2possible injury crashes3.5%
100.0%prior 1
No Injury36no injury crashes63.2%
24.1%prior 29

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2023-06-01 to 2023-06-30 · KABCO injury classification scale

Severity Distribution (Crash Events)

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2023-06-01 to 2023-06-30 · Most severe injury per crash record

Top Contributing Factors

The distribution of contributing factors saw shifts, with 'No improper driving' increasing from 6 crashes in June 2022 to 13 in June 2023, marking a 116.7% rise. 'Failed to yield right of way' crashes increased from 6 to 8, a 33.3% rise, while 'Followed too closely' crashes remained constant at 8. Notably, 'Inattention' crashes decreased significantly from 6 to 1, and new factors like 'Operating vehicle in erratic, reckless, careless, negligent or aggressive manner' emerged with 4 crashes in June 2023.

Officer-Reported Primary Contributing Cause

No improper driving13 (22.8%)116.7%prior 6
Failed to yield right of way8 (14%)33.3%prior 6
Followed too closely8 (14%)0.0%prior 8
Operating vehicle in erratic, reckless, careless, negligent or aggressive manner4 (7%)
Failure to keep in proper lane or running off road3 (5.3%)-40.0%prior 5
Made an improper turn3 (5.3%)
Distracted3 (5.3%)
Swerving or avoiding due to wind, slippery surface, vehicle, object, vulnerable user in roadway3 (5.3%)
Other improper action2 (3.5%)
Fatigued/asleep2 (3.5%)

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2023-06-01 to 2023-06-30 · Officer-reported primary contributory cause per crash

Road & Environmental Conditions

Crashes occurring in clear weather conditions increased from 26 in June 2022 to 41 in June 2023, while crashes during rain also rose from 3 to 7. Similarly, incidents on dry road surfaces increased from 34 to 46, and those on wet surfaces more than doubled from 4 to 11. The number of crashes in daylight conditions rose from 24 to 45, whereas crashes in 'Dark - roadway not lighted' conditions increased from 4 to 6.

Weather

Clear41 (71.9%)
57.7%prior 26
Rain7 (12.3%)
Cloudy5 (8.8%)
Clear/Cloudy3 (5.3%)
Clear/Unknown1 (1.8%)

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2023-06-01 to 2023-06-30 · Weather condition at time of crash

Lighting

Daylight45 (78.9%)
87.5%prior 24
Dark - lighted roadway6 (10.5%)
0.0%prior 6
Dark - roadway not lighted6 (10.5%)

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2023-06-01 to 2023-06-30 · Lighting condition field

Road Surface

Dry46 (80.7%)
35.3%prior 34
Wet11 (19.3%)

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2023-06-01 to 2023-06-30 · Road surface condition field

Vehicles & Demographics

The total number of vehicles involved in crashes increased from 73 in June 2022 to 101 in June 2023. Top vehicle makes like Ford, Toyota, Nissan, Chevrolet, and Honda all saw increases in their counts of involved vehicles. In terms of persons involved, the 16-20 age group experienced a notable increase from 9 to 24 persons, while the 21-25 age group saw a decrease from 16 to 12 persons.

Top Vehicle Makes (101 vehicles)

1
FORD14 (13.9%)
55.6%prior 9
2
TOYOTA12 (11.9%)
71.4%prior 7
3
NISSAN12 (11.9%)
71.4%prior 7
4
CHEVROLET12 (11.9%)
140.0%prior 5
5
HONDA10 (9.9%)
66.7%prior 6
6
JEEP5 (5%)
7
DODGE4 (4%)
8
MERCEDES-BENZ3 (3%)
9
HYUNDAI3 (3%)
-50.0%prior 6
10
MAZDA3 (3%)

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2023-06-01 to 2023-06-30 · Vehicle unit records

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

Sex Distribution (110 persons with recorded sex)

Male60 (54.5%)
39.5%prior 43
Female48 (43.6%)
14.3%prior 42
X / Unspecified2 (1.8%)

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2023-06-01 to 2023-06-30 · Person-level records linked to crash events

Speed Limit Zones

Crashes in 30 mph speed zones saw a substantial increase, rising from 4 in June 2022 to 22 in June 2023. Similarly, incidents in 65 mph zones also grew significantly, from 7 to 17. Conversely, crashes in 20 mph, 40 mph, and 50 mph zones all decreased by one or more incidents. No fatal crashes were reported in any speed zone during either period.

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2023-06-01 to 2023-06-30 · 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: 2023-06-01 through 2023-06-30
  • Report generated: June 21, 2026

Data Coverage

  • Reporting period: 2023-06-01 through 2023-06-30 (30 days)
  • Geographic scope: BRIDGEWATER, MA
  • Total crash records analyzed: 57
  • Total persons involved: 123
  • Total vehicles involved: 101

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: June 2023." Published June 21, 2026. Reporting period: 2023-06-01 to 2023-06-30. Data source: Massachusetts Crash Data (MassDOT CDV), Arcgis_yearly Open Data. Available at: https://thatcarhitme.com/crash-data/massachusetts/bridgewater/june-2023-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 — June 2023 | ThatCarHitMe.com