Monthly Traffic Safety Analysis

43 CRASHES IN
EAST BRIDGEWATER, MA
DECEMBER 2022

All metrics benchmarked againstDecember 2021

Total crashes in EAST BRIDGEWATER, MA increased from 33 in December 2021 to 43 in December 2022, representing a 30.3% rise year-over-year. The most notable shift was a 100% increase in total injuries, which rose from 8 to 16 during the same period.

43

30.3%was 33

Total Crash Events

0

Persons Killed

16

100.0%was 8

Persons Injured

5

66.7%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.

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2022-12-01 to 2022-12-31 · Aggregate counts from crash, person, and vehicle records

Trend Summary

Overall, crash incidents in EAST BRIDGEWATER are trending upwards, with a 30.3% increase in total crashes from 33 to 43. This rise in crashes was accompanied by a significant 100% increase in total injuries, climbing from 8 to 16.

5

Hit-and-Run Crashes — December 2022

66.7% vs prior (3)

Hit-and-run crashes increased from 3 incidents in December 2021 to 5 incidents in December 2022. The hit-and-run rate also saw an increase, rising from 9.1% to 11.6% year-over-year.

Vulnerable Road User Casualties

0

Motorists Killed

Prior: 00.0%

16

Motorists Injured

Prior: 7128.6%

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2022-12-01 to 2022-12-31 · 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 Thursday in December 2021, with 7 incidents, to Friday in December 2022, with 9 incidents. Additionally, the peak crash hour moved from 8 AM (5 crashes) in the prior period to 8 PM (6 crashes) in the current period.

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2022-12-01 to 2022-12-31 · Crash date field aggregated by weekday

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2022-12-01 to 2022-12-31 · Crash time field aggregated by hour (0-23)

Crash Severity Breakdown

Fatalities and fatal crashes remained at zero in both December 2021 and December 2022. While serious injuries remained constant at 1 crash in both periods, possible injury crashes increased from 2 (6.1% share) to 4 (9.3% share).

Outcome by Severity (Crash Events)

Serious Injury1serious injury crashes2.3%
0.0%prior 1
Minor Injury5minor injury crashes11.6%
0.0%prior 5
Possible Injury4possible injury crashes9.3%
100.0%prior 2
No Injury33no injury crashes76.7%
37.5%prior 24

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2022-12-01 to 2022-12-31 · KABCO injury classification scale

Severity Distribution (Crash Events)

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2022-12-01 to 2022-12-31 · Most severe injury per crash record

Top Contributing Factors

The top contributing factor, 'No improper driving,' saw a 120% increase in count, rising from 5 in the prior period to 11 in the current period, moving from 3rd to 1st in ranking. Conversely, 'Failed to yield right of way' decreased by 2 crashes, from 7 to 5, dropping from the top factor to the third-highest.

Officer-Reported Primary Contributing Cause

No improper driving11 (25.6%)120.0%prior 5
Inattention5 (11.6%)0.0%prior 5
Failed to yield right of way5 (11.6%)-28.6%prior 7
Failure to keep in proper lane or running off road4 (9.3%)
Operating vehicle in erratic, reckless, careless, negligent or aggressive manner3 (7%)
Followed too closely2 (4.7%)
Disregarded traffic signs, signals, road markings1 (2.3%)
Exceeded authorized speed limit1 (2.3%)
Fatigued/asleep1 (2.3%)
Swerving or avoiding due to wind, slippery surface, vehicle, object, vulnerable user in roadway1 (2.3%)

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2022-12-01 to 2022-12-31 · Officer-reported primary contributory cause per crash

Road & Environmental Conditions

Crashes occurring in 'Clear' weather conditions increased from 22 to 32, and incidents during 'Rain' conditions rose from 1 to 6. Similarly, crashes on 'Dry' road surfaces increased from 25 to 34, while those on 'Wet' surfaces increased from 7 to 8. Crashes occurring in 'Dark - lighted roadway' conditions also saw an increase, from 14 to 23.

Weather

Clear32 (74.4%)
45.5%prior 22
Rain6 (14.0%)
Clear/Other1 (2.3%)
Cloudy/Rain1 (2.3%)
Snow1 (2.3%)
Cloudy/Other1 (2.3%)
Clear/Cloudy1 (2.3%)

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2022-12-01 to 2022-12-31 · Weather condition at time of crash

Lighting

Dark - lighted roadway23 (53.5%)
64.3%prior 14
Daylight19 (44.2%)
18.8%prior 16
Dawn1 (2.3%)

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2022-12-01 to 2022-12-31 · Lighting condition field

Road Surface

Dry34 (79.1%)
36.0%prior 25
Wet8 (18.6%)
14.3%prior 7
Sand, mud, dirt, oil, gravel1 (2.3%)

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2022-12-01 to 2022-12-31 · Road surface condition field

Vehicles & Demographics

Among the top vehicle makes involved in crashes, TOYOTA increased from 8 to 11 incidents, and FORD increased from 8 to 10 incidents. The age group 0-15 saw a notable increase in persons involved in crashes, rising from 2 to 9, while the 26-34 age group also increased from 9 to 17 persons.

Top Vehicle Makes (69 vehicles)

1
TOYOTA11 (15.9%)
37.5%prior 8
2
FORD10 (14.5%)
25.0%prior 8
3
CHEVROLET10 (14.5%)
11.1%prior 9
4
NISSAN6 (8.7%)
20.0%prior 5
5
HONDA6 (8.7%)
-33.3%prior 9
6
JEEP4 (5.8%)
7
KIA3 (4.3%)
8
HYUNDAI3 (4.3%)
9
MERCEDES-BENZ2 (2.9%)
10
DODGE2 (2.9%)

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2022-12-01 to 2022-12-31 · Vehicle unit records

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

Sex Distribution (83 persons with recorded sex)

Female49 (59.0%)
63.3%prior 30
Male34 (41.0%)
-10.5%prior 38

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2022-12-01 to 2022-12-31 · Person-level records linked to crash events

Speed Limit Zones

Crashes in the 30 mph speed zone increased from 10 to 17, and those in the 35 mph zone rose from 6 to 11. Incidents in the 40 mph zone also increased from 4 to 10, indicating a general shift towards more crashes occurring in higher speed limit areas. Fatal rates remained at 0 for all speed zones in both periods.

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2022-12-01 to 2022-12-31 · 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: 2022-12-01 through 2022-12-31
  • Report generated: June 21, 2026

Data Coverage

  • Reporting period: 2022-12-01 through 2022-12-31 (31 days)
  • Geographic scope: EAST BRIDGEWATER, MA
  • Total crash records analyzed: 43
  • Total persons involved: 91
  • 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). "EAST BRIDGEWATER, MA Crash Intelligence Report: December 2022." Published June 21, 2026. Reporting period: 2022-12-01 to 2022-12-31. Data source: Massachusetts Crash Data (MassDOT CDV), Arcgis_yearly Open Data. Available at: https://thatcarhitme.com/crash-data/massachusetts/east-bridgewater/december-2022-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 — December 2022 | ThatCarHitMe.com