Monthly Traffic Safety Analysis

34 CRASHES IN
EAST BRIDGEWATER, MA
JANUARY 2023

All metrics benchmarked againstJanuary 2022

In January 2023, EAST BRIDGEWATER experienced 34 crashes, a decrease of 10.5% from the 38 crashes recorded in January 2022. Despite fewer crashes overall, total injuries increased significantly by 160%, rising from 5 in the prior period to 13 in the current period.

34

-10.5%was 38

Total Crash Events

0

Persons Killed

13

160.0%was 5

Persons Injured

4

33.3%was 3

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 · 2023-01-01 to 2023-01-31 · Aggregate counts from crash, person, and vehicle records

Trend Summary

The total number of crashes in EAST BRIDGEWATER decreased by 10.5%, from 38 crashes in January 2022 to 34 crashes in January 2023. Conversely, total injuries increased by 160%, from 5 in the prior period to 13 in the current period, indicating a worsening outcome for those involved in crashes.

4

Hit-and-Run Crashes — January 2023

33.3% vs prior (3)

Hit-and-run crashes increased from 3 in January 2022 to 4 in January 2023. The hit-and-run rate also increased from 7.9% in the prior period to 11.8% in the current period, indicating an upward trend.

Vulnerable Road User Casualties

0

Pedestrians Killed

Prior: 00.0%

0

Motorists Killed

Prior: 00.0%

1

Pedestrians Injured

Prior: 0%

12

Motorists Injured

Prior: 5140.0%

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2023-01-01 to 2023-01-31 · 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 Friday with 13 crashes in the prior period to Monday with 9 crashes in the current period. The peak hour also changed, moving from 5p with 5 crashes in the prior period to 10p with 3 crashes in the current period.

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2023-01-01 to 2023-01-31 · Crash date field aggregated by weekday

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2023-01-01 to 2023-01-31 · Crash time field aggregated by hour (0-23)

Crash Severity Breakdown

Fatalities remained at 0 in both January 2022 and January 2023. However, total injuries increased from 5 to 13 year-over-year. Crashes resulting in any injury (Serious, Minor, or Possible) increased from 4 in the prior period to 8 in the current period, while the proportion of crashes with no injury decreased from 81.6% to 73.5%.

Outcome by Severity (Crash Events)

Serious Injury1serious injury crashes2.9%
Minor Injury4minor injury crashes11.8%
100.0%prior 2
Possible Injury3possible injury crashes8.8%
50.0%prior 2
No Injury25no injury crashes73.5%
-19.4%prior 31

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2023-01-01 to 2023-01-31 · KABCO injury classification scale

Severity Distribution (Crash Events)

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2023-01-01 to 2023-01-31 · Most severe injury per crash record

Top Contributing Factors

The contributing factor 'No improper driving' increased by 2 crashes, from 11 in the prior period to 13 in the current period. 'Failed to yield right of way' decreased by 2 crashes, from 8 to 6. 'Inattention' also saw a decrease of 3 crashes, falling from 5 to 2.

Officer-Reported Primary Contributing Cause

No improper driving13 (38.2%)18.2%prior 11
Failed to yield right of way6 (17.6%)-25.0%prior 8
Other improper action3 (8.8%)
Inattention2 (5.9%)-60.0%prior 5
Visibility obstructed2 (5.9%)
Operating vehicle in erratic, reckless, careless, negligent or aggressive manner1 (2.9%)
Operating defective equipment1 (2.9%)
Glare1 (2.9%)
Failure to keep in proper lane or running off road1 (2.9%)
Fatigued/asleep1 (2.9%)

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2023-01-01 to 2023-01-31 · Officer-reported primary contributory cause per crash

Road & Environmental Conditions

Crashes occurring on dry road surfaces decreased from 26 in the prior period to 16 in the current period, while crashes on wet surfaces increased from 1 to 16. Crashes under clear weather conditions decreased from 24 to 14. Crashes in daylight decreased from 22 to 18, and crashes in dark-lighted roadway conditions decreased from 16 to 14.

Weather

Clear14 (41.2%)
-41.7%prior 24
Cloudy5 (14.7%)
Rain4 (11.8%)
Rain/Cloudy3 (8.8%)
Snow/Sleet, hail (freezing rain or drizzle)2 (5.9%)
Clear/Cloudy1 (2.9%)
Cloudy/Rain1 (2.9%)
Rain/Snow1 (2.9%)
Sleet, hail (freezing rain or drizzle)1 (2.9%)
Rain/Fog, smog, smoke1 (2.9%)

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2023-01-01 to 2023-01-31 · Weather condition at time of crash

Lighting

Daylight18 (52.9%)
-18.2%prior 22
Dark - lighted roadway14 (41.2%)
-12.5%prior 16
Dawn1 (2.9%)
Dusk1 (2.9%)

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2023-01-01 to 2023-01-31 · Lighting condition field

Road Surface

Dry16 (47.1%)
-38.5%prior 26
Wet16 (47.1%)
Ice1 (2.9%)
Snow1 (2.9%)
-87.5%prior 8

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2023-01-01 to 2023-01-31 · Road surface condition field

Vehicles & Demographics

The total number of vehicles involved in crashes decreased from 66 to 58 year-over-year. FORD remained a top make with 10 vehicles involved in both periods, while TOYOTA, which was a top make with 11 vehicles in the prior period, decreased to 4 vehicles. The 16-20 age group saw a decrease in persons involved from 14 to 11.

Top Vehicle Makes (58 vehicles)

1
FORD10 (17.2%)
0.0%prior 10
2
HONDA8 (13.8%)
33.3%prior 6
3
CHEVROLET5 (8.6%)
-16.7%prior 6
4
JEEP4 (6.9%)
-33.3%prior 6
5
TOYOTA4 (6.9%)
-63.6%prior 11
6
GMC4 (6.9%)
7
DODGE4 (6.9%)
8
VOLKSWAGEN4 (6.9%)
9
BMW2 (3.4%)
10
KIA2 (3.4%)

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2023-01-01 to 2023-01-31 · Vehicle unit records

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

Sex Distribution (66 persons with recorded sex)

Male36 (54.5%)
-16.3%prior 43
Female29 (43.9%)
-17.1%prior 35
X / Unspecified1 (1.5%)

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2023-01-01 to 2023-01-31 · Person-level records linked to crash events

Speed Limit Zones

Crashes in the 30 mph speed limit zone decreased from 13 in the prior period to 8 in the current period. Conversely, crashes in the 35 mph speed limit zone increased from 8 to 10, and crashes in the 40 mph speed limit zone increased from 7 to 8. No fatal crashes were reported in any speed zone during either period.

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2023-01-01 to 2023-01-31 · 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: 2023-01-01 through 2023-01-31
  • Report generated: June 21, 2026

Data Coverage

  • Reporting period: 2023-01-01 through 2023-01-31 (31 days)
  • Geographic scope: EAST BRIDGEWATER, MA
  • Total crash records analyzed: 34
  • Total persons involved: 70
  • Total vehicles involved: 58

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: January 2023." Published June 21, 2026. Reporting period: 2023-01-01 to 2023-01-31. Data source: Massachusetts Crash Data (MassDOT CDV), Arcgis_yearly Open Data. Available at: https://thatcarhitme.com/crash-data/massachusetts/east-bridgewater/january-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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East Bridgewater, MA Crash Report — January 2023 | ThatCarHitMe.com