Yearly Traffic Safety Analysis

535 CRASHES IN
BRIDGEWATER, MA
2024

All metrics benchmarked against2023

In 2024, Bridgewater recorded 535 total traffic crashes, a 3.4% decrease from the 554 crashes reported in 2023. While overall crashes and the number of people injured declined, the number of fatalities increased significantly, rising from 1 in 2023 to 4 in 2024. This increase in fatalities represents the most notable change in crash outcomes year-over-year.

535

-3.4%was 554

Total Crash Events

4

300.0%was 1

Persons Killed

151

-17.0%was 182

Persons Injured

29

-19.4%was 36

Hit-and-Run Crashes

Note: "Persons Killed" (4) counts individual fatalities across all crash events. "Fatal" in the severity table below (3) counts crash events where at least one fatality occurred. A single crash can result in multiple fatalities. 12 crashes with unreported severity are not shown in the severity breakdown.

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

Trend Summary

The overall trend in traffic crashes in Bridgewater shows a slight year-over-year decline, with total incidents falling by 3.4% from 554 in 2023 to 535 in 2024. Similarly, the number of people injured in these crashes decreased by 17.0% from 182 to 151. However, this downward trend in crashes and injuries was contrasted by a sharp rise in fatalities, which increased from 1 to 4 during the same period.

29

Hit-and-Run Crashes — 2024

-19.4% vs prior (36)

The number of hit-and-run incidents in Bridgewater decreased year-over-year. There were 29 hit-and-run crashes in 2024, down from 36 in the previous year. This represents a decline in the hit-and-run rate, which fell from 6.5% of all crashes in 2023 to 5.4% in 2024.

Vulnerable Road User Casualties

0

Pedestrians Killed

Prior: 00.0%

0

Cyclists Killed

Prior: 00.0%

4

Motorists Killed

Prior: 1300.0%

0

Other Killed

Prior: 00.0%

3

Pedestrians Injured

Prior: 4-25.0%

3

Cyclists Injured

Prior: 1200.0%

144

Motorists Injured

Prior: 177-18.6%

1

Other Injured

Prior: 0%

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2024-01-01 to 2024-12-31 · Mode classified from person records (driver/passenger → motorist; pedestrian; bicyclist → cyclist; in-line skater / unspecified → other)

When Crashes Happen

The temporal patterns of crashes shifted between the two periods. In 2024, Wednesday became the peak day for crashes with 99 incidents, a change from 2023 when Monday was the peak day with 89 crashes. The peak hour for crashes also shifted slightly later, from the 4 p.m. hour in 2023 (43 crashes) to the 5 p.m. hour in 2024, which shared the peak with the 2 p.m. hour (48 crashes each).

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

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

Crash Severity Breakdown

While total crashes decreased, the severity of outcomes worsened in 2024. The number of fatal crashes tripled from 1 in 2023 to 3 in 2024, increasing the fatal crash share from 0.2% to 0.6% of all incidents. Conversely, crashes resulting in injuries saw a decline; the share of serious injury crashes fell from 2.5% to 2.1%, and minor injury crashes dropped from 16.1% to 13.3% of all crashes. The proportion of crashes with no injuries increased from 72.6% in 2023 to 76.4% in 2024.

Severity is per crash event (most severe injury). 3 fatal crash events resulted in 4 persons killed.

Outcome by Severity (Crash Events)

Fatal3fatal crashes0.6%
200.0%prior 1
Serious Injury11serious injury crashes2.1%
-21.4%prior 14
Minor Injury71minor injury crashes13.3%
-20.2%prior 89
Possible Injury29possible injury crashes5.4%
-3.3%prior 30
No Injury409no injury crashes76.4%
1.7%prior 402

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

Severity Distribution (Crash Events)

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

Top Contributing Factors

The leading contributing factors shifted year-over-year. In 2024, 'Followed too closely' became the most cited improper action, with its count increasing by 34.6% from 78 to 105 incidents. 'Failed to yield right of way' remained a top factor but saw a slight decrease in count from 83 to 81 crashes. Notably, crashes attributed to 'Operating vehicle in erratic, reckless, careless, negligent or aggressive manner' decreased by 52.5%, falling from 40 incidents in 2023 to 19 in 2024.

Officer-Reported Primary Contributing Cause

No improper driving111 (20.7%)-9.0%prior 122
Followed too closely105 (19.6%)34.6%prior 78
Failed to yield right of way81 (15.1%)-2.4%prior 83
Failure to keep in proper lane or running off road34 (6.4%)9.7%prior 31
Inattention33 (6.2%)6.5%prior 31
Other improper action23 (4.3%)0.0%prior 23
Operating vehicle in erratic, reckless, careless, negligent or aggressive manner19 (3.6%)-52.5%prior 40
Disregarded traffic signs, signals, road markings13 (2.4%)0.0%prior 13
Driving too fast for conditions9 (1.7%)12.5%prior 8
Distracted9 (1.7%)-62.5%prior 24

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

Road & Environmental Conditions

Crash conditions remained broadly consistent year-over-year, with most incidents in both periods occurring in clear weather on dry roads. In 2024, 78.5% of crashes happened on dry surfaces, nearly identical to 78.7% in 2023. There was a shift in lighting conditions, with the proportion of crashes in daylight increasing from 66.2% to 70.7% of all crashes. Correspondingly, the share of crashes on dark, lighted roadways decreased from 21.5% in 2023 to 15.5% in 2024.

Weather

Clear365 (68.7%)
-9.4%prior 403
Rain45 (8.5%)
-2.2%prior 46
Cloudy28 (5.3%)
-24.3%prior 37
Clear/Other17 (3.2%)
240.0%prior 5
Clear/Unknown12 (2.3%)
71.4%prior 7
Rain/Cloudy11 (2.1%)
83.3%prior 6
Clear/Cloudy11 (2.1%)
-26.7%prior 15
Cloudy/Rain9 (1.7%)
80.0%prior 5
Clear/Clear9 (1.7%)
Snow5 (0.9%)
-28.6%prior 7

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

Lighting

Daylight378 (71.2%)
3.0%prior 367
Dark - lighted roadway83 (15.6%)
-30.3%prior 119
Dark - roadway not lighted43 (8.1%)
16.2%prior 37
Dusk14 (2.6%)
0.0%prior 14
Dawn8 (1.5%)
-11.1%prior 9
Dark - unknown roadway lighting5 (0.9%)

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

Road Surface

Dry420 (79.1%)
-3.7%prior 436
Wet98 (18.5%)
-9.3%prior 108
Snow8 (1.5%)
Ice3 (0.6%)
Slush1 (0.2%)
Water (standing, moving)1 (0.2%)

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

Vehicles & Demographics

The makes of vehicles involved in crashes showed high consistency, with Toyota, Ford, and Honda being the top three most frequent makes in both 2023 and 2024. The age distribution of persons involved in crashes saw some shifts. The proportion of individuals in the 16-20 age group decreased from 17.7% of all persons in 2023 to 14.6% in 2024. In contrast, the 26-34 age group's representation increased from 13.6% to 16.0% over the same period.

Top Vehicle Makes (1,001 vehicles)

1
TOYOTA159 (15.9%)
1.9%prior 156
2
FORD115 (11.5%)
9.5%prior 105
3
HONDA101 (10.1%)
-14.4%prior 118
4
CHEVROLET96 (9.6%)
3.2%prior 93
5
NISSAN70 (7%)
-17.6%prior 85
6
JEEP58 (5.8%)
-17.1%prior 70
7
HYUNDAI46 (4.6%)
-2.1%prior 47
8
KIA29 (2.9%)
16.0%prior 25
9
GMC28 (2.8%)
-6.7%prior 30
10
SUBARU27 (2.7%)
-10.0%prior 30

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

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

Sex Distribution (1,133 persons with recorded sex)

Male612 (54.0%)
1.2%prior 605
Female521 (46.0%)
0.4%prior 519

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

Speed Limit Zones

The distribution of crashes across speed zones changed, with a notable decrease in incidents in 30 mph zones, from 207 in 2023 to 172 in 2024. Crashes in 65 mph zones also fell from 99 to 88. In 2024, two fatal crashes occurred in posted speed zones: one in a 45 mph zone and one in a 65 mph zone. In the prior year, no fatal crashes were recorded within a posted speed limit zone.

Fatal crashes by zone: 45 mph: 1 of 3 (33.333%) · 65 mph: 1 of 88 (1.136%)

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

Data Coverage

  • Reporting period: 2024-01-01 through 2024-12-31 (366 days)
  • Geographic scope: BRIDGEWATER, MA
  • Total crash records analyzed: 535
  • Total persons involved: 1,225
  • Total vehicles involved: 1,001

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