Monthly Traffic Safety Analysis

19 CRASHES IN
MATTAPOISETT, MA
AUGUST 2024

All metrics benchmarked againstAugust 2023

Total crashes in MATTAPOISETT increased significantly by 137.5%, from 8 crashes in August 2023 to 19 crashes in August 2024. This notable increase was accompanied by the emergence of DUI-related and speeding-related crashes, which were not reported in the prior period. Additionally, crashes resulting in a serious injury (severity A) were reported in the current period, whereas none were reported in the prior period.

19

137.5%was 8

Total Crash Events

0

Persons Killed

4

33.3%was 3

Persons Injured

2

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 · 2024-08-01 to 2024-08-31 · Aggregate counts from crash, person, and vehicle records

Trend Summary

Overall, crashes in MATTAPOISETT showed a substantial upward trend year-over-year, with total crashes increasing by 11 incidents. This represents a 137.5% rise from 8 crashes in August 2023 to 19 crashes in August 2024.

2

Hit-and-Run Crashes — August 2024

10.5% hit-and-run rate this period vs 0.0% prior. Prior period: 0.

Vulnerable Road User Casualties

0

Motorists Killed

Prior: 00.0%

4

Motorists Injured

Prior: 333.3%

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2024-08-01 to 2024-08-31 · 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 Tuesday with 3 crashes in August 2023 to Friday with 5 crashes in August 2024. Similarly, the peak hour for crashes moved from 9a with 3 crashes in the prior period to 3p with 3 crashes in the current period. Crashes on Fridays and Saturdays, which had zero incidents in the prior period, saw 5 and 2 crashes respectively in the current period.

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2024-08-01 to 2024-08-31 · Crash date field aggregated by weekday

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2024-08-01 to 2024-08-31 · Crash time field aggregated by hour (0-23)

Crash Severity Breakdown

No fatal crashes occurred in either August 2023 or August 2024. Total injuries increased from 3 in the prior period to 4 in the current period. The current period reported 1 crash (5.3% share) resulting in a serious injury (severity A), which was not present in the prior period's data.

Outcome by Severity (Crash Events)

Serious Injury1serious injury crashes5.3%
Minor Injury2minor injury crashes10.5%
100.0%prior 1
Possible Injury1possible injury crashes5.3%
-50.0%prior 2
No Injury14no injury crashes73.7%
180.0%prior 5

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2024-08-01 to 2024-08-31 · KABCO injury classification scale

Severity Distribution (Crash Events)

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2024-08-01 to 2024-08-31 · Most severe injury per crash record

Top Contributing Factors

The count of crashes attributed to 'No improper driving' remained stable at 4 in both periods, though its share of total crashes decreased from 50% to 21.1%. Crashes due to 'Failed to yield right of way' also remained stable at 2 in both periods, with its share decreasing from 25% to 10.5%. Factors such as 'Driving too fast for conditions' and 'Failure to keep in proper lane or running off road' emerged in the current period with 2 crashes each, having zero counts in the prior period.

Officer-Reported Primary Contributing Cause

No improper driving4 (21.1%)
Failure to keep in proper lane or running off road2 (10.5%)
Driving too fast for conditions2 (10.5%)
Failed to yield right of way2 (10.5%)
Physical impairment1 (5.3%)
Inattention1 (5.3%)
Followed too closely1 (5.3%)
Disregarded traffic signs, signals, road markings1 (5.3%)
Made an improper turn1 (5.3%)
Operating vehicle in erratic, reckless, careless, negligent or aggressive manner1 (5.3%)

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2024-08-01 to 2024-08-31 · Officer-reported primary contributory cause per crash

Road & Environmental Conditions

Crashes occurring in 'Clear' weather conditions increased from 5 in August 2023 to 10 in August 2024. Crashes on 'Wet' road surfaces saw a notable increase, rising from 2 in the prior period to 7 in the current period. The number of crashes occurring during 'Daylight' hours increased from 7 to 13 year-over-year.

Weather

Clear10 (52.6%)
100.0%prior 5
Rain3 (15.8%)
Clear/Other2 (10.5%)
Cloudy/Rain1 (5.3%)
Cloudy/Fog, smog, smoke1 (5.3%)
Cloudy1 (5.3%)
Cloudy/Other1 (5.3%)

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2024-08-01 to 2024-08-31 · Weather condition at time of crash

Lighting

Daylight13 (68.4%)
85.7%prior 7
Dark - lighted roadway4 (21.1%)
Dark - roadway not lighted2 (10.5%)

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2024-08-01 to 2024-08-31 · Lighting condition field

Road Surface

Dry12 (63.2%)
100.0%prior 6
Wet7 (36.8%)

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2024-08-01 to 2024-08-31 · Road surface condition field

Vehicles & Demographics

Top Vehicle Makes (28 vehicles)

1
HONDA7 (25%)
2
TOYOTA5 (17.9%)
3
CHEVROLET4 (14.3%)
4
KIA2 (7.1%)
5
MERCEDES-BENZ1 (3.6%)
6
TESL1 (3.6%)
7
VOLKSWAGEN1 (3.6%)
8
WINN1 (3.6%)
9
DODGE1 (3.6%)
10
FORD1 (3.6%)

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2024-08-01 to 2024-08-31 · Vehicle unit records

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

Sex Distribution (29 persons with recorded sex)

Male18 (62.1%)
80.0%prior 10
Female11 (37.9%)
120.0%prior 5

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2024-08-01 to 2024-08-31 · Person-level records linked to crash events

Speed Limit Zones

No fatal crashes were recorded in any speed zone during either period. Crashes occurring in 35 MPH speed zones increased from 3 in August 2023 to 4 in August 2024, and those in 45 MPH zones increased from 1 to 3. The current period saw crashes reported in new speed zones, including 10 MPH (1 crash), 15 MPH (1 crash), 40 MPH (3 crashes), and 65 MPH (3 crashes), which were not present in the prior period's data.

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2024-08-01 to 2024-08-31 · 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: 2024-08-01 through 2024-08-31
  • Report generated: June 21, 2026

Data Coverage

  • Reporting period: 2024-08-01 through 2024-08-31 (31 days)
  • Geographic scope: MATTAPOISETT, MA
  • Total crash records analyzed: 19
  • Total persons involved: 31
  • Total vehicles involved: 28

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: August 2024." Published June 21, 2026. Reporting period: 2024-08-01 to 2024-08-31. Data source: Massachusetts Crash Data (MassDOT CDV), Arcgis_yearly Open Data. Available at: https://thatcarhitme.com/crash-data/massachusetts/mattapoisett/august-2024-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 — August 2024 | ThatCarHitMe.com