Monthly Traffic Safety Analysis

40 CRASHES IN
SOMERSET, MA
FEBRUARY 2022

All metrics benchmarked againstFebruary 2021

In February 2022, Somerset experienced 40 crashes, an increase of 21.21% compared to the 33 crashes recorded in February 2021. The most notable year-over-year shift was a 53.85% increase in total injuries, rising from 13 in February 2021 to 20 in February 2022.

40

21.2%was 33

Total Crash Events

0

Persons Killed

20

53.8%was 13

Persons Injured

0

-100.0%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 · 2022-02-01 to 2022-02-28 · Aggregate counts from crash, person, and vehicle records

Trend Summary

Overall, crash incidents in Somerset are on an upward trend year-over-year, with total crashes increasing by 7 (21.21%) from February 2021 to February 2022. Concurrently, total injuries also saw a significant rise, increasing by 7 (53.85%) during the same period.

Vulnerable Road User Casualties

0

Motorists Killed

Prior: 00.0%

20

Motorists Injured

Prior: 1353.8%

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2022-02-01 to 2022-02-28 · 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 February 2022, the peak day for crashes was Sunday with 10 incidents, moving from Tuesday with 7 incidents in February 2021. The peak hour also shifted, with 5 PM recording 6 crashes in February 2022, compared to 6 PM with 4 crashes in February 2021.

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2022-02-01 to 2022-02-28 · Crash date field aggregated by weekday

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2022-02-01 to 2022-02-28 · Crash time field aggregated by hour (0-23)

Crash Severity Breakdown

There were no fatalities reported in either February 2021 or February 2022. However, total injuries increased from 13 in February 2021 to 20 in February 2022, marking a 53.85% rise. Minor injuries increased from 5 (15.2% share) to 7 (17.5% share), and possible injuries rose from 4 (12.1% share) to 5 (12.5% share).

Outcome by Severity (Crash Events)

Minor Injury7minor injury crashes17.5%
40.0%prior 5
Possible Injury5possible injury crashes12.5%
25.0%prior 4
No Injury28no injury crashes70%
33.3%prior 21

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2022-02-01 to 2022-02-28 · KABCO injury classification scale

Severity Distribution (Crash Events)

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2022-02-01 to 2022-02-28 · Most severe injury per crash record

Top Contributing Factors

Several contributing factors saw notable changes year-over-year. 'Driving too fast for conditions' increased significantly from 0 crashes in February 2021 to 7 crashes in February 2022. 'No improper driving' also doubled from 4 crashes to 8 crashes, while 'Followed too closely' increased from 3 crashes to 6 crashes. Conversely, 'Inattention' decreased by 5 crashes, from 9 in February 2021 to 4 in February 2022, and 'Failed to yield right of way' decreased by 3 crashes, from 5 to 2.

Officer-Reported Primary Contributing Cause

No improper driving8 (20%)
Driving too fast for conditions7 (17.5%)
Followed too closely6 (15%)
Inattention4 (10%)-55.6%prior 9
Other improper action3 (7.5%)
Visibility obstructed2 (5%)
Distracted2 (5%)
Failed to yield right of way2 (5%)-60.0%prior 5
Disregarded traffic signs, signals, road markings2 (5%)
Operating vehicle in erratic, reckless, careless, negligent or aggressive manner1 (2.5%)

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2022-02-01 to 2022-02-28 · Officer-reported primary contributory cause per crash

Road & Environmental Conditions

Adverse weather conditions contributed to a higher number of crashes in February 2022 compared to the prior year, with crashes on snowy roads increasing from 4 to 10, and crashes during snow weather conditions rising from 2 to 9. Crashes on wet road surfaces decreased from 14 to 10. The number of crashes occurring in daylight increased from 18 to 21, while crashes in dark but lighted roadways increased from 10 to 12.

Weather

Clear20 (51.3%)
5.3%prior 19
Snow9 (23.1%)
Rain4 (10.3%)
Cloudy3 (7.7%)
Snow/Sleet, hail (freezing rain or drizzle)2 (5.1%)
Sleet, hail (freezing rain or drizzle)1 (2.6%)

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2022-02-01 to 2022-02-28 · Weather condition at time of crash

Lighting

Daylight21 (52.5%)
16.7%prior 18
Dark - lighted roadway12 (30.0%)
20.0%prior 10
Dark - roadway not lighted6 (15.0%)
Dawn1 (2.5%)

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2022-02-01 to 2022-02-28 · Lighting condition field

Road Surface

Dry18 (45.0%)
20.0%prior 15
Snow10 (25.0%)
Wet10 (25.0%)
-28.6%prior 14
Slush2 (5.0%)

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2022-02-01 to 2022-02-28 · Road surface condition field

Vehicles & Demographics

The total number of vehicles involved in crashes increased by 9, from 58 in February 2021 to 67 in February 2022. While Nissan was the top make in February 2021 with 12 vehicles, Toyota and Ford were among the top makes in February 2022 with 9 and 8 vehicles respectively. Demographically, the 35-44 age group saw a significant increase in involvement, rising from 7 persons in February 2021 to 19 persons in February 2022, and the number of males involved increased from 38 to 47.

Top Vehicle Makes (67 vehicles)

1
TOYOTA9 (13.4%)
50.0%prior 6
2
FORD8 (11.9%)
3
NISSAN8 (11.9%)
-33.3%prior 12
4
HONDA8 (11.9%)
60.0%prior 5
5
HYUNDAI7 (10.4%)
6
CHEVROLET5 (7.5%)
7
KIA3 (4.5%)
8
MAZDA3 (4.5%)
9
RAM2 (3%)
10
JEEP2 (3%)

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2022-02-01 to 2022-02-28 · Vehicle unit records

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

Sex Distribution (81 persons with recorded sex)

Male47 (58.0%)
23.7%prior 38
Female34 (42.0%)
54.5%prior 22

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2022-02-01 to 2022-02-28 · Person-level records linked to crash events

Speed Limit Zones

Crashes in 30 mph speed zones doubled from 10 in February 2021 to 20 in February 2022. Additionally, crashes in 55 mph zones increased from 0 to 6. There were no fatal crashes reported across any speed limit zone in either period.

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2022-02-01 to 2022-02-28 · 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: 2022-02-01 through 2022-02-28
  • Report generated: June 21, 2026

Data Coverage

  • Reporting period: 2022-02-01 through 2022-02-28 (28 days)
  • Geographic scope: SOMERSET, MA
  • Total crash records analyzed: 40
  • Total persons involved: 84
  • Total vehicles involved: 67

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). "SOMERSET, MA Crash Intelligence Report: February 2022." Published June 21, 2026. Reporting period: 2022-02-01 to 2022-02-28. Data source: Massachusetts Crash Data (MassDOT CDV), Arcgis_yearly Open Data. Available at: https://thatcarhitme.com/crash-data/massachusetts/somerset/february-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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Somerset, MA Crash Report — February 2022 | ThatCarHitMe.com