Monthly Traffic Safety Analysis

12 CRASHES IN
MATTAPOISETT, MA
JUNE 2023

All metrics benchmarked againstJune 2022

In June 2023, MATTAPOISETT experienced 12 total crashes, an increase from 9 crashes in June 2022, representing a 33.3% rise year-over-year. A notable shift is the emergence of 1 injury in June 2023, compared to zero injuries in the prior year.

12

33.3%was 9

Total Crash Events

0

Persons Killed

1

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

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2023-06-01 to 2023-06-30 · Aggregate counts from crash, person, and vehicle records

Trend Summary

Overall, the trend indicates an increase in crash activity year-over-year, with total crashes rising by 33.3% from 9 in June 2022 to 12 in June 2023. Additionally, injuries, which were absent in June 2022, were reported in 1 crash in June 2023.

1

Hit-and-Run Crashes — June 2023

0.0% vs prior (1)

The number of hit-and-run crashes remained consistent at 1 in both June 2022 and June 2023. However, the hit-and-run rate decreased from 11.1% of total crashes in June 2022 to 8.3% in June 2023, indicating a downward trend in the proportion of such incidents.

Vulnerable Road User Casualties

0

Motorists Killed

Prior: 00.0%

1

Motorists Injured

Prior: 0%

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2023-06-01 to 2023-06-30 · Mode classified from person records (driver/passenger → motorist; pedestrian; bicyclist → cyclist; in-line skater / unspecified → other)

When Crashes Happen

The temporal patterns for crashes in MATTAPOISETT shifted between the two periods. The peak day for crashes moved from Thursday with 2 crashes in June 2022 to Friday with 3 crashes in June 2023. The peak hour also changed, moving from 11 AM with 2 crashes in June 2022 to 3 PM with 2 crashes in June 2023.

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2023-06-01 to 2023-06-30 · Crash date field aggregated by weekday

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2023-06-01 to 2023-06-30 · Crash time field aggregated by hour (0-23)

Crash Severity Breakdown

Outcome by Severity (Crash Events)

Serious Injury1serious injury crashes8.3%
No Injury9no injury crashes75%

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2023-06-01 to 2023-06-30 · KABCO injury classification scale

Severity Distribution (Crash Events)

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2023-06-01 to 2023-06-30 · Most severe injury per crash record

Top Contributing Factors

The top contributing factor, 'No improper driving,' decreased significantly from 5 crashes in June 2022 to 2 crashes in June 2023, a 60% reduction in count, with its share dropping from 55.6% to 16.7%. Conversely, 'Inattention' crashes doubled from 1 in June 2022 to 2 in June 2023, increasing its share from 11.1% to 16.7%. Factors such as 'Failed to yield right of way,' 'Operating vehicle in erratic, reckless, careless, negligent or aggressive manner,' 'Other improper action,' and 'Followed too closely' appeared in June 2023 with 1 crash each, not being present in the prior period's data.

Officer-Reported Primary Contributing Cause

No improper driving2 (16.7%)-60.0%prior 5
Inattention2 (16.7%)
Failed to yield right of way1 (8.3%)
Distracted1 (8.3%)
Operating vehicle in erratic, reckless, careless, negligent or aggressive manner1 (8.3%)
Other improper action1 (8.3%)
Followed too closely1 (8.3%)

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2023-06-01 to 2023-06-30 · Officer-reported primary contributory cause per crash

Road & Environmental Conditions

Crashes occurring in 'Clear' weather conditions decreased from 8 in June 2022 to 7 in June 2023, reducing their share from 88.9% to 58.3%. Crashes under 'Cloudy' conditions increased from 1 to 3, with their share rising from 11.1% to 25%. Additionally, 'Cloudy/Rain' and 'Fog, smog, smoke' conditions each accounted for 1 crash in June 2023 but were not present in the prior year. 'Daylight' conditions remained stable at 8 crashes, though their share of total crashes decreased from 88.9% to 66.7%, while crashes at 'Dawn' emerged with 2 incidents in June 2023.

Weather

Clear7 (58.3%)
-12.5%prior 8
Cloudy3 (25.0%)
Cloudy/Rain1 (8.3%)
Fog, smog, smoke1 (8.3%)

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2023-06-01 to 2023-06-30 · Weather condition at time of crash

Lighting

Daylight8 (66.7%)
0.0%prior 8
Dawn2 (16.7%)
Dark - lighted roadway1 (8.3%)
Dark - roadway not lighted1 (8.3%)

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2023-06-01 to 2023-06-30 · Lighting condition field

Road Surface

Dry10 (83.3%)
25.0%prior 8
Sand, mud, dirt, oil, gravel1 (8.3%)
Wet1 (8.3%)

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2023-06-01 to 2023-06-30 · Road surface condition field

Vehicles & Demographics

Top Vehicle Makes (18 vehicles)

1
NISSAN3 (16.7%)
2
BMW2 (11.1%)
3
FORD2 (11.1%)
4
GMC1 (5.6%)
5
HONDA1 (5.6%)
6
JAGU1 (5.6%)
7
JEEP1 (5.6%)
8
LINC1 (5.6%)
9
RAM1 (5.6%)
10
AUDI1 (5.6%)

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2023-06-01 to 2023-06-30 · Vehicle unit records

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

Sex Distribution (16 persons with recorded sex)

Male10 (62.5%)
42.9%prior 7
Female5 (31.3%)
0.0%prior 5
X / Unspecified1 (6.3%)

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2023-06-01 to 2023-06-30 · Person-level records linked to crash events

Speed Limit Zones

Crashes in the 25 mph speed zone increased from 2 in June 2022 to 3 in June 2023, and those in the 65 mph zone increased from 3 to 4. Speed limits of 10 mph, 40 mph, and 45 mph appeared in June 2023 with 1, 2, and 1 crash respectively, not being present in the prior period's data. There were no reported fatalities in any speed zone during either period.

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2023-06-01 to 2023-06-30 · 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: 2023-06-01 through 2023-06-30
  • Report generated: June 21, 2026

Data Coverage

  • Reporting period: 2023-06-01 through 2023-06-30 (30 days)
  • Geographic scope: MATTAPOISETT, MA
  • Total crash records analyzed: 12
  • Total persons involved: 26
  • Total vehicles involved: 18

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). "MATTAPOISETT, MA Crash Intelligence Report: June 2023." Published June 21, 2026. Reporting period: 2023-06-01 to 2023-06-30. Data source: Massachusetts Crash Data (MassDOT CDV), Arcgis_yearly Open Data. Available at: https://thatcarhitme.com/crash-data/massachusetts/mattapoisett/june-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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Mattapoisett, MA Crash Report — June 2023 | ThatCarHitMe.com