Monthly Traffic Safety Analysis

34 CRASHES IN
BRIDGEWATER, MA
JANUARY 2022

All metrics benchmarked againstJanuary 2021

In January 2022, Bridgewater experienced a 36% increase in total crashes compared to January 2021, rising from 25 crashes to 34 crashes. Despite the increase in total crashes, total injuries decreased by 22.2%, from 9 injuries in January 2021 to 7 injuries in January 2022. The most notable year-over-year shift was the increase in 'Followed too closely' as a contributing factor, which rose from 2 crashes to 6 crashes.

34

36.0%was 25

Total Crash Events

0

Persons Killed

7

-22.2%was 9

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.

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

Trend Summary

The overall trend indicates a rise in crash incidents, with total crashes increasing by 36% from 25 in January 2021 to 34 in January 2022. Conversely, the total number of injuries decreased by 22.2%, from 9 to 7, over the same period. Fatalities remained at zero in both January 2021 and January 2022.

1

Hit-and-Run Crashes — January 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%

7

Motorists Injured

Prior: 8-12.5%

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2022-01-01 to 2022-01-31 · 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 Saturday with 6 crashes in January 2021 to Monday with 8 crashes in January 2022. While the peak hour remained 4 PM with 4 crashes in both periods, there was a notable increase in crashes on Monday (from 4 to 8) and Wednesday (from 2 to 6). Conversely, crashes on Tuesday decreased from 5 to 2, and Saturday decreased from 6 to 4.

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

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

Crash Severity Breakdown

Fatal crashes remained at zero in both January 2021 and January 2022. The number of minor injuries remained stable at 4 in both periods, but possible injuries decreased from 3 in January 2021 to 2 in January 2022. Additionally, one serious injury crash was recorded in January 2022, whereas none were reported in January 2021.

Outcome by Severity (Crash Events)

Serious Injury1serious injury crashes2.9%
Minor Injury4minor injury crashes11.8%
0.0%prior 4
Possible Injury2possible injury crashes5.9%
-33.3%prior 3
No Injury27no injury crashes79.4%
50.0%prior 18

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

Severity Distribution (Crash Events)

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

Top Contributing Factors

The leading contributing factor, 'No improper driving', increased from 7 crashes in January 2021 to 9 crashes in January 2022. 'Followed too closely' saw a significant increase, rising from 2 crashes to 6 crashes, representing a 200% increase in count. Conversely, 'Failed to yield right of way' decreased from 3 crashes to 1 crash, a 66.7% decrease in count.

Officer-Reported Primary Contributing Cause

No improper driving9 (26.5%)28.6%prior 7
Followed too closely6 (17.6%)
Other improper action5 (14.7%)
Driving too fast for conditions3 (8.8%)
Distracted2 (5.9%)
Failure to keep in proper lane or running off road2 (5.9%)
Glare2 (5.9%)
Failed to yield right of way1 (2.9%)
Inattention1 (2.9%)
Wrong side or wrong way1 (2.9%)

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

Road & Environmental Conditions

Crashes occurring in 'Clear' weather conditions increased from 17 in January 2021 to 20 in January 2022. Crashes on 'Wet' road surfaces saw a substantial increase, rising from 2 in January 2021 to 8 in January 2022. There was also an increase in crashes occurring in 'Dark - lighted roadway' conditions, which rose from 7 to 11.

Weather

Clear20 (60.6%)
17.6%prior 17
Rain4 (12.1%)
Snow2 (6.1%)
Cloudy2 (6.1%)
Clear/Other1 (3.0%)
Rain/Sleet, hail (freezing rain or drizzle)1 (3.0%)
Snow/Blowing sand, snow1 (3.0%)
Snow/Unknown1 (3.0%)
Cloudy/Snow1 (3.0%)

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

Lighting

Daylight17 (50.0%)
13.3%prior 15
Dark - lighted roadway11 (32.4%)
57.1%prior 7
Dark - roadway not lighted3 (8.8%)
Dusk3 (8.8%)

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

Road Surface

Dry19 (55.9%)
-5.0%prior 20
Wet8 (23.5%)
Snow5 (14.7%)
Ice2 (5.9%)

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

Vehicles & Demographics

Top Vehicle Makes (61 vehicles)

1
TOYOTA9 (14.8%)
2
FORD9 (14.8%)
80.0%prior 5
3
HONDA7 (11.5%)
16.7%prior 6
4
NISSAN6 (9.8%)
5
CHEVROLET5 (8.2%)
6
VOLVO3 (4.9%)
7
HYUNDAI3 (4.9%)
8
JEEP3 (4.9%)
9
MAZDA2 (3.3%)
10
GMC2 (3.3%)

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

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

Sex Distribution (63 persons with recorded sex)

Male35 (55.6%)
12.9%prior 31
Female28 (44.4%)
0.0%prior 28

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

Speed Limit Zones

Crashes occurring in the 30 mph speed zone decreased from 9 in January 2021 to 4 in January 2022. Conversely, crashes in the 35 mph speed zone increased from 1 to 7, and in the 40 mph speed zone from 4 to 7. There were no fatal crashes reported in any speed zone for either period.

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

Data Coverage

  • Reporting period: 2022-01-01 through 2022-01-31 (31 days)
  • Geographic scope: BRIDGEWATER, MA
  • Total crash records analyzed: 34
  • Total persons involved: 66
  • Total vehicles involved: 61

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