Monthly Traffic Safety Analysis

36 CRASHES IN
EAST BRIDGEWATER, MA
MARCH 2022

All metrics benchmarked againstMarch 2021

Total crashes in EAST BRIDGEWATER, MA increased from 31 in March 2021 to 36 in March 2022, representing a 16.1% rise. Despite the increase in total crashes, total injuries decreased by 38.5%, from 13 in the prior period to 8 in the current period.

36

16.1%was 31

Total Crash Events

0

Persons Killed

8

-38.5%was 13

Persons Injured

3

200.0%was 1

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 · 2022-03-01 to 2022-03-31 · Aggregate counts from crash, person, and vehicle records

Trend Summary

Overall, crashes in EAST BRIDGEWATER, MA increased year-over-year. The total number of crashes rose from 31 in March 2021 to 36 in March 2022, marking a 16.1% increase.

3

Hit-and-Run Crashes — March 2022

200.0% vs prior (1)

Hit-and-run crashes increased significantly, rising from 1 in March 2021 to 3 in March 2022. This represents a 200% increase in hit-and-run incidents. Consequently, the hit-and-run rate increased from 3.2% to 8.3% of all crashes.

Vulnerable Road User Casualties

0

Motorists Killed

Prior: 00.0%

8

Motorists Injured

Prior: 13-38.5%

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2022-03-01 to 2022-03-31 · Mode classified from person records (driver/passenger → motorist; pedestrian; bicyclist → cyclist; in-line skater / unspecified → other)

When Crashes Happen

The peak day for crashes remained Thursday in both periods, though the count decreased from 11 in March 2021 to 7 in March 2022. The peak crash hour shifted significantly, from 3 PM with 7 crashes in March 2021 to 11 PM with 5 crashes in March 2022.

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2022-03-01 to 2022-03-31 · Crash date field aggregated by weekday

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2022-03-01 to 2022-03-31 · Crash time field aggregated by hour (0-23)

Crash Severity Breakdown

There were no fatal crashes in either March 2021 or March 2022. Total injuries decreased from 13 to 8, a 38.5% reduction. The proportion of serious injuries (code A) decreased from 6.5% to 0%, while minor injuries (code B) decreased from 12.9% to 5.6%. Conversely, crashes with no reported injury increased from 77.4% to 86.1% of all crashes.

Outcome by Severity (Crash Events)

Minor Injury2minor injury crashes5.6%
-50.0%prior 4
Possible Injury3possible injury crashes8.3%
200.0%prior 1
No Injury31no injury crashes86.1%
29.2%prior 24

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2022-03-01 to 2022-03-31 · KABCO injury classification scale

Severity Distribution (Crash Events)

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2022-03-01 to 2022-03-31 · Most severe injury per crash record

Top Contributing Factors

The number of crashes attributed to 'No improper driving' increased from 7 to 9 (+2 crashes), while 'Failed to yield right of way' decreased from 8 to 6 (-2 crashes). 'Driving too fast for conditions' and 'Followed too closely' each saw an increase of 2 crashes, rising from 0 to 2 in both categories. Notably, 'Distracted' as a contributing factor decreased from 2 crashes in the prior period to 0 in the current period.

Officer-Reported Primary Contributing Cause

No improper driving9 (25%)28.6%prior 7
Failed to yield right of way6 (16.7%)-25.0%prior 8
Inattention5 (13.9%)0.0%prior 5
Failure to keep in proper lane or running off road3 (8.3%)
Driving too fast for conditions2 (5.6%)
Followed too closely2 (5.6%)
Operating vehicle in erratic, reckless, careless, negligent or aggressive manner2 (5.6%)
Swerving or avoiding due to wind, slippery surface, vehicle, object, vulnerable user in roadway2 (5.6%)
Made an improper turn1 (2.8%)
Exceeded authorized speed limit1 (2.8%)

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2022-03-01 to 2022-03-31 · Officer-reported primary contributory cause per crash

Road & Environmental Conditions

The number of crashes occurring in 'Clear' weather conditions remained stable, decreasing slightly from 23 to 22. Crashes on 'Dry' road surfaces increased from 27 to 30. There was a slight increase in crashes occurring during 'Daylight' conditions, rising from 20 to 23.

Weather

Clear22 (61.1%)
-4.3%prior 23
Cloudy5 (13.9%)
Rain2 (5.6%)
Clear/Cloudy2 (5.6%)
Rain/Cloudy1 (2.8%)
Snow/Sleet, hail (freezing rain or drizzle)1 (2.8%)
Clear/Other1 (2.8%)
Cloudy/Unknown1 (2.8%)
Fog, smog, smoke/Cloudy1 (2.8%)

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2022-03-01 to 2022-03-31 · Weather condition at time of crash

Lighting

Daylight23 (63.9%)
15.0%prior 20
Dark - lighted roadway12 (33.3%)
100.0%prior 6
Dawn1 (2.8%)

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2022-03-01 to 2022-03-31 · Lighting condition field

Road Surface

Dry30 (83.3%)
11.1%prior 27
Wet4 (11.1%)
Ice1 (2.8%)
Snow1 (2.8%)

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2022-03-01 to 2022-03-31 · Road surface condition field

Vehicles & Demographics

The total number of vehicles involved in crashes increased from 51 in March 2021 to 62 in March 2022. The 16-20 age group saw a decrease in persons involved from 9 to 7, while the 45-54 age group increased from 12 to 13. Ford vehicles showed a notable increase in involvement, from 6 to 15, becoming the top make in March 2022.

Top Vehicle Makes (62 vehicles)

1
FORD15 (24.2%)
150.0%prior 6
2
HONDA8 (12.9%)
60.0%prior 5
3
JEEP7 (11.3%)
40.0%prior 5
4
TOYOTA7 (11.3%)
-12.5%prior 8
5
CHEVROLET5 (8.1%)
-16.7%prior 6
6
LINC2 (3.2%)
7
SUBARU2 (3.2%)
8
GMC2 (3.2%)
9
HYUNDAI2 (3.2%)
10
KIA2 (3.2%)

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2022-03-01 to 2022-03-31 · Vehicle unit records

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

Sex Distribution (72 persons with recorded sex)

Male39 (54.2%)
25.8%prior 31
Female33 (45.8%)
37.5%prior 24

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2022-03-01 to 2022-03-31 · Person-level records linked to crash events

Speed Limit Zones

Crashes occurring in 25 mph zones increased slightly from 7 to 8, and in 40 mph zones from 4 to 7. The number of crashes in 30 mph and 35 mph speed zones remained consistent at 9 and 10 crashes, respectively. There were no fatal crashes recorded in any speed zone during either period.

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2022-03-01 to 2022-03-31 · 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: 2022-03-01 through 2022-03-31
  • Report generated: June 21, 2026

Data Coverage

  • Reporting period: 2022-03-01 through 2022-03-31 (31 days)
  • Geographic scope: EAST BRIDGEWATER, MA
  • Total crash records analyzed: 36
  • Total persons involved: 78
  • Total vehicles involved: 62

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: March 2022." Published June 21, 2026. Reporting period: 2022-03-01 to 2022-03-31. Data source: Massachusetts Crash Data (MassDOT CDV), Arcgis_yearly Open Data. Available at: https://thatcarhitme.com/crash-data/massachusetts/east-bridgewater/march-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 — March 2022 | ThatCarHitMe.com