Monthly Traffic Safety Analysis

58 CRASHES IN
BRIDGEWATER, MA
DECEMBER 2024

All metrics benchmarked againstDecember 2023

In December 2024, Bridgewater experienced 58 total crashes, an 11.54% increase compared to the 52 crashes recorded in December 2023. A significant year-over-year shift was observed in crashes where 'Followed too closely' was a contributing factor, increasing from 4 incidents in the prior period to 16 incidents in the current period.

58

11.5%was 52

Total Crash Events

0

Persons Killed

14

-12.5%was 16

Persons Injured

2

-71.4%was 7

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. 2 crashes with unreported severity are not shown in the severity breakdown.

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2024-12-01 to 2024-12-31 · Aggregate counts from crash, person, and vehicle records

Trend Summary

Overall, crashes in Bridgewater showed an upward trend, increasing by 11.54% from 52 crashes in December 2023 to 58 crashes in December 2024. While total crashes rose, total injuries decreased by 12.5%, from 16 injuries in the prior year to 14 in the current year.

2

Hit-and-Run Crashes — December 2024

-71.4% vs prior (7)

Hit-and-run crashes decreased significantly year-over-year, dropping from 7 incidents in December 2023 to 2 incidents in December 2024. This change resulted in the hit-and-run rate falling from 13.5% of total crashes in the prior period to 3.4% in the current period, indicating a downward trend.

Vulnerable Road User Casualties

0

Motorists Killed

Prior: 00.0%

14

Motorists Injured

Prior: 16-12.5%

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2024-12-01 to 2024-12-31 · 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 Sunday in December 2023, with 12 incidents, to Tuesday in December 2024, also with 12 incidents. The peak hour for crashes moved from 6 PM with 8 incidents in the prior period to 5 PM with 8 incidents in the current period.

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2024-12-01 to 2024-12-31 · Crash date field aggregated by weekday

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2024-12-01 to 2024-12-31 · Crash time field aggregated by hour (0-23)

Crash Severity Breakdown

There were no fatal crashes or fatalities in either December 2023 or December 2024. The proportion of serious injury crashes increased, with 1 serious injury crash (1.7% of total crashes) in December 2024 compared to 0 in December 2023. Minor injury crashes remained relatively stable, accounting for 15.5% (9 crashes) in the current period versus 15.4% (8 crashes) in the prior period.

Outcome by Severity (Crash Events)

Serious Injury1serious injury crashes1.7%
Minor Injury9minor injury crashes15.5%
12.5%prior 8
Possible Injury2possible injury crashes3.4%
-33.3%prior 3
No Injury44no injury crashes75.9%
18.9%prior 37

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2024-12-01 to 2024-12-31 · KABCO injury classification scale

Severity Distribution (Crash Events)

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2024-12-01 to 2024-12-31 · Most severe injury per crash record

Top Contributing Factors

The 'Followed too closely' factor saw a substantial increase, rising from 4 incidents in December 2023 to 16 incidents in December 2024, representing a 300% increase in count. Conversely, crashes attributed to 'Disregarded traffic signs, signals, road markings' decreased by 75%, from 4 incidents to 1 incident. The factor 'Operating vehicle in erratic, reckless, careless, negligent or aggressive manner', which accounted for 7 crashes in the prior period, was not present as a contributing factor in the current period.

Officer-Reported Primary Contributing Cause

Followed too closely16 (27.6%)
Failed to yield right of way10 (17.2%)42.9%prior 7
No improper driving7 (12.1%)0.0%prior 7
Failure to keep in proper lane or running off road6 (10.3%)0.0%prior 6
Glare3 (5.2%)
Inattention3 (5.2%)
Other improper action2 (3.4%)
Disregarded traffic signs, signals, road markings1 (1.7%)
Made an improper turn1 (1.7%)
Distracted1 (1.7%)

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2024-12-01 to 2024-12-31 · Officer-reported primary contributory cause per crash

Road & Environmental Conditions

Crashes occurring in 'Clear' weather conditions increased by 6 incidents, from 29 in December 2023 to 35 in December 2024. The number of crashes on 'Dry' road surfaces rose by 5, from 33 to 38. Crashes occurring during 'Daylight' conditions also increased by 6 incidents, from 25 to 31 year-over-year.

Weather

Clear35 (60.3%)
20.7%prior 29
Clear/Clear6 (10.3%)
Rain5 (8.6%)
0.0%prior 5
Rain/Cloudy3 (5.2%)
Snow2 (3.4%)
Cloudy1 (1.7%)
-80.0%prior 5
Clear/Cloudy1 (1.7%)
Rain/Fog, smog, smoke1 (1.7%)
Snow/Cloudy1 (1.7%)
Snow/Rain1 (1.7%)

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2024-12-01 to 2024-12-31 · Weather condition at time of crash

Lighting

Daylight31 (54.4%)
24.0%prior 25
Dark - lighted roadway12 (21.1%)
-25.0%prior 16
Dark - roadway not lighted8 (14.0%)
14.3%prior 7
Dawn3 (5.3%)
Dusk2 (3.5%)
Dark - unknown roadway lighting1 (1.8%)

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2024-12-01 to 2024-12-31 · Lighting condition field

Road Surface

Dry38 (65.5%)
15.2%prior 33
Wet17 (29.3%)
-5.6%prior 18
Snow3 (5.2%)

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2024-12-01 to 2024-12-31 · Road surface condition field

Vehicles & Demographics

The total number of vehicles involved in crashes increased by 19.15%, from 94 in December 2023 to 112 in December 2024. Toyota remained the top make, with 19 vehicles involved in the current period compared to 15 in the prior period, while Chevrolet saw a notable increase from 8 to 14 vehicles. Regarding persons involved, the 35-44 age group saw the largest increase, from 15 persons in the prior period to 21 persons in the current period, whereas the 16-20 age group decreased from 23 to 19 persons.

Top Vehicle Makes (112 vehicles)

1
TOYOTA19 (17%)
26.7%prior 15
2
FORD16 (14.3%)
23.1%prior 13
3
CHEVROLET14 (12.5%)
75.0%prior 8
4
JEEP9 (8%)
0.0%prior 9
5
HONDA8 (7.1%)
-20.0%prior 10
6
NISSAN5 (4.5%)
-37.5%prior 8
7
HYUNDAI4 (3.6%)
8
GMC4 (3.6%)
9
AUDI3 (2.7%)
10
MERCEDES-BENZ3 (2.7%)

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2024-12-01 to 2024-12-31 · Vehicle unit records

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

Sex Distribution (125 persons with recorded sex)

Male80 (64.0%)
23.1%prior 65
Female45 (36.0%)
-8.2%prior 49

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2024-12-01 to 2024-12-31 · Person-level records linked to crash events

Speed Limit Zones

Crashes in 65 mph speed zones increased from 8 incidents in December 2023 to 16 incidents in December 2024, marking a 100% increase in count. Conversely, crashes in 30 mph zones decreased by 6 incidents, from 19 to 13. No fatalities were recorded in any speed zone during either period.

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2024-12-01 to 2024-12-31 · 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: 2024-12-01 through 2024-12-31
  • Report generated: June 21, 2026

Data Coverage

  • Reporting period: 2024-12-01 through 2024-12-31 (31 days)
  • Geographic scope: BRIDGEWATER, MA
  • Total crash records analyzed: 58
  • Total persons involved: 133
  • Total vehicles involved: 112

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: December 2024." Published June 21, 2026. Reporting period: 2024-12-01 to 2024-12-31. Data source: Massachusetts Crash Data (MassDOT CDV), Arcgis_yearly Open Data. Available at: https://thatcarhitme.com/crash-data/massachusetts/bridgewater/december-2024-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 — December 2024 | ThatCarHitMe.com