Monthly Traffic Safety Analysis

42 CRASHES IN
SOMERSET, MA
JULY 2023

All metrics benchmarked againstJuly 2022

In July 2023, Somerset experienced 42 total crashes, a 55.56% increase from the 27 crashes recorded in July 2022. Total injuries also rose from 11 to 17 over the same period. The most notable shift was the substantial increase in hit-and-run crashes, which grew from 1 to 8 year-over-year.

42

55.6%was 27

Total Crash Events

0

Persons Killed

17

54.5%was 11

Persons Injured

8

700.0%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. 2 crashes with unreported severity are not shown in the severity breakdown.

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2023-07-01 to 2023-07-31 · Aggregate counts from crash, person, and vehicle records

Trend Summary

Overall, crash data for July 2023 indicates a rising trend compared to July 2022. Total crashes increased by 55.56%, from 27 to 42, while total injuries saw a 54.55% increase, rising from 11 to 17.

8

Hit-and-Run Crashes — July 2023

700.0% vs prior (1)

Hit-and-run crashes increased substantially, rising from 1 crash in July 2022 to 8 crashes in July 2023. This change led to a significant increase in the hit-and-run rate, which grew from 3.7% of total crashes to 19% year-over-year.

Vulnerable Road User Casualties

0

Cyclists Killed

Prior: 00.0%

0

Motorists Killed

Prior: 00.0%

1

Cyclists Injured

Prior: 10.0%

16

Motorists Injured

Prior: 1060.0%

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2023-07-01 to 2023-07-31 · Mode classified from person records (driver/passenger → motorist; pedestrian; bicyclist → cyclist; in-line skater / unspecified → other)

When Crashes Happen

Both periods identified Friday as the peak day for crashes, with 6 crashes in July 2022 and 9 crashes in July 2023. The peak hour for crashes shifted from 12 p.m. with 4 crashes in July 2022 to 2 p.m. with 6 crashes in July 2023, indicating a later afternoon peak in the current period.

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2023-07-01 to 2023-07-31 · Crash date field aggregated by weekday

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2023-07-01 to 2023-07-31 · Crash time field aggregated by hour (0-23)

Crash Severity Breakdown

Fatalities remained at 0 in both July 2022 and July 2023. While July 2022 reported only minor injuries (7) and no injuries (20), July 2023 recorded 2 serious injuries, 9 minor injuries, 4 possible injuries, and 25 no-injury crashes. The total number of injured persons increased from 11 to 17 year-over-year.

Outcome by Severity (Crash Events)

Serious Injury2serious injury crashes4.8%
Minor Injury9minor injury crashes21.4%
28.6%prior 7
Possible Injury4possible injury crashes9.5%
No Injury25no injury crashes59.5%
25.0%prior 20

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2023-07-01 to 2023-07-31 · KABCO injury classification scale

Severity Distribution (Crash Events)

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2023-07-01 to 2023-07-31 · Most severe injury per crash record

Top Contributing Factors

The top contributing factor shifted from 'Inattention' (6 crashes) in July 2022 to 'No improper driving' (11 crashes) in July 2023. 'No improper driving' saw the largest increase in count, from 3 crashes to 11 crashes. 'Followed too closely' also significantly increased from 2 crashes to 6 crashes, while 'Inattention' rose from 6 crashes to 8 crashes.

Officer-Reported Primary Contributing Cause

No improper driving11 (26.2%)
Inattention8 (19%)33.3%prior 6
Followed too closely6 (14.3%)
Failed to yield right of way6 (14.3%)
Failure to keep in proper lane or running off road2 (4.8%)
Other improper action2 (4.8%)
Illness1 (2.4%)
Fatigued/asleep1 (2.4%)
Disregarded traffic signs, signals, road markings1 (2.4%)
Made an improper turn1 (2.4%)

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2023-07-01 to 2023-07-31 · Officer-reported primary contributory cause per crash

Road & Environmental Conditions

Weather and road surface condition data for July 2022 are not available for comparison. For lighting conditions, crashes occurring in daylight increased from 25 in July 2022 to 34 in July 2023. Crashes in 'Dark - lighted roadway' also increased from 2 to 5.

Weather

Clear39 (95.1%)
Cloudy1 (2.4%)
Cloudy/Rain1 (2.4%)

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2023-07-01 to 2023-07-31 · Weather condition at time of crash

Lighting

Daylight34 (82.9%)
36.0%prior 25
Dark - lighted roadway5 (12.2%)
Dark - roadway not lighted1 (2.4%)
Dawn1 (2.4%)

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2023-07-01 to 2023-07-31 · Lighting condition field

Road Surface

Dry39 (95.1%)
Wet2 (4.9%)

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2023-07-01 to 2023-07-31 · Road surface condition field

Vehicles & Demographics

The total number of persons involved in crashes increased from 64 in July 2022 to 98 in July 2023. The 21-25 age group saw a notable increase in persons involved, rising from 4 to 15, and the 55-64 age group increased from 6 to 13. Toyota became the most frequently involved vehicle make in July 2023 with 11 vehicles, up from 5 in July 2022, while Honda maintained 9 vehicles in both periods.

Top Vehicle Makes (78 vehicles)

1
TOYOTA11 (14.1%)
120.0%prior 5
2
HONDA9 (11.5%)
0.0%prior 9
3
JEEP5 (6.4%)
4
FORD5 (6.4%)
5
CHEVROLET4 (5.1%)
6
KIA4 (5.1%)
7
SUBARU3 (3.8%)
8
HYUNDAI3 (3.8%)
9
ACURA2 (2.6%)
10
KAWK2 (2.6%)

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2023-07-01 to 2023-07-31 · Vehicle unit records

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

Sex Distribution (78 persons with recorded sex)

Male42 (53.8%)
75.0%prior 24
Female36 (46.2%)
9.1%prior 33

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2023-07-01 to 2023-07-31 · Person-level records linked to crash events

Speed Limit Zones

The 30 mph speed zone consistently recorded the highest number of crashes, increasing from 13 in July 2022 to 19 in July 2023. Crashes in the 40 mph zone also rose from 4 to 10. Additionally, 5 crashes occurred in the 65 mph zone in July 2023, a speed limit not represented in the July 2022 data.

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2023-07-01 to 2023-07-31 · 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: 2023-07-01 through 2023-07-31
  • Report generated: June 21, 2026

Data Coverage

  • Reporting period: 2023-07-01 through 2023-07-31 (31 days)
  • Geographic scope: SOMERSET, MA
  • Total crash records analyzed: 42
  • Total persons involved: 98
  • Total vehicles involved: 78

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: July 2023." Published June 21, 2026. Reporting period: 2023-07-01 to 2023-07-31. Data source: Massachusetts Crash Data (MassDOT CDV), Arcgis_yearly Open Data. Available at: https://thatcarhitme.com/crash-data/massachusetts/somerset/july-2023-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 — July 2023 | ThatCarHitMe.com