Monthly Traffic Safety Analysis

34 CRASHES IN
EAST BRIDGEWATER, MA
MAY 2022

All metrics benchmarked againstMay 2021

Total crashes in EAST BRIDGEWATER, MA for May 2022 were 34, a 12.82% decrease from the 39 crashes recorded in May 2021. The most notable year-over-year shift was this overall reduction in crash incidents. Additionally, total injuries decreased from 16 to 14, marking a 12.5% reduction.

34

-12.8%was 39

Total Crash Events

0

Persons Killed

14

-12.5%was 16

Persons Injured

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. 1 crash with unreported severity is not shown in the severity breakdown.

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2022-05-01 to 2022-05-31 · Aggregate counts from crash, person, and vehicle records

Trend Summary

Overall, crash incidents in EAST BRIDGEWATER, MA showed a downward trend from May 2021 to May 2022. Total crashes decreased by 12.82%, from 39 to 34, while total injuries also decreased by 12.5%, from 16 to 14. Fatalities remained at 0 in both periods, indicating a stable trend in the most severe outcomes.

1

Hit-and-Run Crashes — May 2022

2.9% hit-and-run rate this period vs 0.0% prior. Prior period: 0.

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 · 2022-05-01 to 2022-05-31 · 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 May 2022, the peak day for crashes was Sunday with 8 incidents, whereas in May 2021, Friday was the peak day, also with 8 incidents. The peak crash hour also changed, with 2 PM recording 5 crashes in May 2022 compared to 3 PM recording 7 crashes in May 2021.

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2022-05-01 to 2022-05-31 · Crash date field aggregated by weekday

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2022-05-01 to 2022-05-31 · Crash time field aggregated by hour (0-23)

Crash Severity Breakdown

While no fatalities occurred in either period, there was a notable shift in injury severity distribution. Serious injuries (code A) increased from 1 in May 2021 to 3 in May 2022, representing a 200% increase in count. Conversely, minor injuries (code B) decreased significantly from 7 to 1, an 85.7% reduction in count, while possible injuries (code C) increased from 5 to 7, a 40% increase in count.

Outcome by Severity (Crash Events)

Serious Injury3serious injury crashes8.8%
200.0%prior 1
Minor Injury1minor injury crashes2.9%
-85.7%prior 7
Possible Injury7possible injury crashes20.6%
40.0%prior 5
No Injury22no injury crashes64.7%
-15.4%prior 26

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2022-05-01 to 2022-05-31 · KABCO injury classification scale

Severity Distribution (Crash Events)

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2022-05-01 to 2022-05-31 · Most severe injury per crash record

Top Contributing Factors

The leading contributing factors saw shifts in counts and rankings year-over-year. Crashes attributed to "Inattention" decreased from 10 in May 2021 to 6 in May 2022, a 40% reduction in count. Conversely, "No improper driving" incidents increased from 5 to 7 crashes, a 40% increase in count, making it the most frequent factor in May 2022. "Failed to yield right of way" also saw a decrease from 5 to 4 crashes, a 20% reduction in count.

Officer-Reported Primary Contributing Cause

No improper driving7 (20.6%)40.0%prior 5
Inattention6 (17.6%)-40.0%prior 10
Failed to yield right of way4 (11.8%)-20.0%prior 5
Failure to keep in proper lane or running off road3 (8.8%)
Fatigued/asleep3 (8.8%)
Operating vehicle in erratic, reckless, careless, negligent or aggressive manner2 (5.9%)
Swerving or avoiding due to wind, slippery surface, vehicle, object, vulnerable user in roadway2 (5.9%)
Made an improper turn1 (2.9%)
Glare1 (2.9%)
Followed too closely1 (2.9%)

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2022-05-01 to 2022-05-31 · Officer-reported primary contributory cause per crash

Road & Environmental Conditions

Crashes occurring under clear weather conditions decreased from 29 in May 2021 to 23 in May 2022, and crashes during rain decreased from 4 to 1. Similarly, incidents on dry road surfaces decreased from 34 to 31, and on wet surfaces from 5 to 3. While crashes in daylight decreased from 35 to 28, those occurring in dark-lighted roadway conditions increased from 2 to 5.

Weather

Clear23 (67.6%)
-20.7%prior 29
Clear/Cloudy5 (14.7%)
Cloudy2 (5.9%)
Cloudy/Other1 (2.9%)
Cloudy/Rain1 (2.9%)
Rain1 (2.9%)
Rain/Cloudy1 (2.9%)

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2022-05-01 to 2022-05-31 · Weather condition at time of crash

Lighting

Daylight28 (82.4%)
-20.0%prior 35
Dark - lighted roadway5 (14.7%)
Dusk1 (2.9%)

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2022-05-01 to 2022-05-31 · Lighting condition field

Road Surface

Dry31 (91.2%)
-8.8%prior 34
Wet3 (8.8%)
-40.0%prior 5

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2022-05-01 to 2022-05-31 · Road surface condition field

Vehicles & Demographics

The total number of vehicles involved in crashes decreased from 71 in May 2021 to 55 in May 2022. TOYOTA, the top vehicle make in May 2021 with 14 vehicles, saw a decrease to 8 vehicles in May 2022, while FORD increased from 11 to 12 vehicles, becoming the top make. Significant decreases were observed in the number of persons involved in crashes for the 0-15 age group (from 10 to 2 persons) and the 16-20 age group (from 19 to 5 persons).

Top Vehicle Makes (55 vehicles)

1
FORD12 (21.8%)
9.1%prior 11
2
TOYOTA8 (14.5%)
-42.9%prior 14
3
JEEP5 (9.1%)
4
CHEVROLET5 (9.1%)
-50.0%prior 10
5
GMC3 (5.5%)
6
BMW3 (5.5%)
7
CADI2 (3.6%)
8
HONDA2 (3.6%)
9
HYUNDAI2 (3.6%)
10
SUBARU2 (3.6%)

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2022-05-01 to 2022-05-31 · Vehicle unit records

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

Sex Distribution (62 persons with recorded sex)

Male39 (62.9%)
-31.6%prior 57
Female23 (37.1%)
-32.4%prior 34

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2022-05-01 to 2022-05-31 · Person-level records linked to crash events

Speed Limit Zones

Crashes decreased in several speed zones year-over-year, with 25 mph zones seeing a drop from 10 to 6 crashes and 30 mph zones decreasing from 13 to 9 crashes. Conversely, crashes in 35 mph zones increased from 7 to 9. The number of crashes in 40 mph zones remained stable at 7 in both periods, and no fatalities were recorded in any speed zone during either period.

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2022-05-01 to 2022-05-31 · 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: 2022-05-01 through 2022-05-31
  • Report generated: June 21, 2026

Data Coverage

  • Reporting period: 2022-05-01 through 2022-05-31 (31 days)
  • Geographic scope: EAST BRIDGEWATER, MA
  • Total crash records analyzed: 34
  • Total persons involved: 64
  • Total vehicles involved: 55

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: May 2022." Published June 21, 2026. Reporting period: 2022-05-01 to 2022-05-31. Data source: Massachusetts Crash Data (MassDOT CDV), Arcgis_yearly Open Data. Available at: https://thatcarhitme.com/crash-data/massachusetts/east-bridgewater/may-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 — May 2022 | ThatCarHitMe.com