Monthly Traffic Safety Analysis

39 CRASHES IN
WRENTHAM, MA
JUNE 2024

All metrics benchmarked againstJune 2023

In June 2024, Wrentham experienced 39 crashes, an increase from 31 crashes in June 2023, representing a 25.8% rise year-over-year. The most notable shift was in contributing factors, with crashes attributed to 'Followed too closely' increasing from 1 in June 2023 to 11 in June 2024.

39

25.8%was 31

Total Crash Events

0

Persons Killed

15

25.0%was 12

Persons Injured

1

-75.0%was 4

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 · 2024-06-01 to 2024-06-30 · Aggregate counts from crash, person, and vehicle records

Trend Summary

Overall, crashes in Wrentham are on an upward trend, with total crashes increasing from 31 in June 2023 to 39 in June 2024. This represents a 25.8% increase in crash incidents year-over-year.

1

Hit-and-Run Crashes — June 2024

-75.0% vs prior (4)

Hit-and-run crashes decreased significantly, dropping from 4 incidents in June 2023 to 1 incident in June 2024. This resulted in a decrease in the hit-and-run rate from 12.9% in June 2023 to 2.6% in June 2024, indicating a downward trend.

Vulnerable Road User Casualties

0

Motorists Killed

Prior: 00.0%

15

Motorists Injured

Prior: 1225.0%

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2024-06-01 to 2024-06-30 · 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 year-over-year. In June 2024, the peak day for crashes was Saturday with 10 incidents, and the peak hour was 1 p.m. with 8 crashes. This contrasts with June 2023, where Wednesday was the peak day with 7 crashes, and 3 p.m. was the peak hour with 6 crashes.

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2024-06-01 to 2024-06-30 · Crash date field aggregated by weekday

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2024-06-01 to 2024-06-30 · Crash time field aggregated by hour (0-23)

Crash Severity Breakdown

The total number of injuries increased from 12 in June 2023 to 15 in June 2024. Serious injuries remained constant at 1 crash in both periods, while minor injury crashes increased from 1 to 6 and possible injury crashes increased from 3 to 5. Both periods reported 0 fatalities.

Outcome by Severity (Crash Events)

Serious Injury1serious injury crashes2.6%
0.0%prior 1
Minor Injury6minor injury crashes15.4%
500.0%prior 1
Possible Injury5possible injury crashes12.8%
66.7%prior 3
No Injury27no injury crashes69.2%
3.8%prior 26

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2024-06-01 to 2024-06-30 · KABCO injury classification scale

Severity Distribution (Crash Events)

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2024-06-01 to 2024-06-30 · Most severe injury per crash record

Top Contributing Factors

Several key contributing factors saw significant changes year-over-year. Crashes attributed to 'Followed too closely' increased from 1 in June 2023 to 11 in June 2024. 'Failed to yield right of way' crashes rose from 5 to 9, and 'Failure to keep in proper lane or running off road' increased from 2 to 5. Conversely, crashes with 'No improper driving' decreased from 10 to 5, and 'Inattention' crashes dropped from 8 to 1.

Officer-Reported Primary Contributing Cause

Followed too closely11 (28.2%)
Failed to yield right of way9 (23.1%)80.0%prior 5
Failure to keep in proper lane or running off road5 (12.8%)
No improper driving5 (12.8%)-50.0%prior 10
Driving too fast for conditions3 (7.7%)
Fatigued/asleep2 (5.1%)
Glare1 (2.6%)
Inattention1 (2.6%)-87.5%prior 8
Operating defective equipment1 (2.6%)

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2024-06-01 to 2024-06-30 · Officer-reported primary contributory cause per crash

Road & Environmental Conditions

Crashes occurring in 'Clear' or 'Clear/Clear' weather conditions increased from 23 in June 2023 to 30 in June 2024. The number of crashes during 'Rain' or 'Cloudy/Rain' conditions also rose from 1 to 6. Crashes on 'Wet' road surfaces increased from 2 in June 2023 to 8 in June 2024, while crashes in 'Dark' conditions (roadway not lighted or lighted) increased from 3 to 7.

Weather

Clear24 (61.5%)
100.0%prior 12
Clear/Clear6 (15.4%)
-45.5%prior 11
Cloudy/Rain3 (7.7%)
Rain/Cloudy2 (5.1%)
Cloudy2 (5.1%)
Cloudy/Clear1 (2.6%)
Rain1 (2.6%)

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2024-06-01 to 2024-06-30 · Weather condition at time of crash

Lighting

Daylight32 (82.1%)
14.3%prior 28
Dark - roadway not lighted5 (12.8%)
Dark - lighted roadway2 (5.1%)

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2024-06-01 to 2024-06-30 · Lighting condition field

Road Surface

Dry31 (79.5%)
6.9%prior 29
Wet8 (20.5%)

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2024-06-01 to 2024-06-30 · Road surface condition field

Vehicles & Demographics

The total number of vehicles involved in crashes increased from 58 in June 2023 to 72 in June 2024. Honda, Toyota, and Nissan remained among the top makes involved, with Nissan seeing a notable increase from 4 vehicles in June 2023 to 10 in June 2024. The age distribution of persons involved showed an increase in the 21-25, 26-34, 35-44, 55-64, and 65+ age groups in June 2024 compared to June 2023.

Top Vehicle Makes (72 vehicles)

1
HONDA12 (16.7%)
33.3%prior 9
2
NISSAN10 (13.9%)
3
TOYOTA9 (12.5%)
28.6%prior 7
4
FORD9 (12.5%)
80.0%prior 5
5
BMW3 (4.2%)
6
JEEP3 (4.2%)
7
GMC3 (4.2%)
8
AUDI2 (2.8%)
9
CHEVROLET2 (2.8%)
-60.0%prior 5
10
DODGE2 (2.8%)

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2024-06-01 to 2024-06-30 · Vehicle unit records

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

Sex Distribution (89 persons with recorded sex)

Male54 (60.7%)
58.8%prior 34
Female35 (39.3%)
16.7%prior 30

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2024-06-01 to 2024-06-30 · Person-level records linked to crash events

Speed Limit Zones

Crashes in June 2024 occurred across a range of speed limits from 25 mph to 65 mph, similar to June 2023 which also included 20 mph zones. There were 6 crashes in 65 mph zones in June 2024, an increase from 4 in June 2023. Both periods reported 0 fatal crashes across all speed zones.

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2024-06-01 to 2024-06-30 · 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: 2024-06-01 through 2024-06-30
  • Report generated: June 21, 2026

Data Coverage

  • Reporting period: 2024-06-01 through 2024-06-30 (30 days)
  • Geographic scope: WRENTHAM, MA
  • Total crash records analyzed: 39
  • Total persons involved: 91
  • Total vehicles involved: 72

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). "WRENTHAM, MA Crash Intelligence Report: June 2024." Published June 21, 2026. Reporting period: 2024-06-01 to 2024-06-30. Data source: Massachusetts Crash Data (MassDOT CDV), Arcgis_yearly Open Data. Available at: https://thatcarhitme.com/crash-data/massachusetts/wrentham/june-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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Wrentham, MA Crash Report — June 2024 | ThatCarHitMe.com