Monthly Traffic Safety Analysis

52 CRASHES IN
RAYNHAM, MA
JUNE 2025

All metrics benchmarked againstJune 2024

In June 2025, RAYNHAM, MA experienced 52 total crashes, a 16.1% decrease from the 62 crashes reported in June 2024. Despite this reduction in overall incidents, total injuries rose significantly from 14 to 23, marking a 64.3% increase year-over-year.

52

▼ -16.1%was 62

Total Crash Events

0

Persons Killed

23

▲ 64.3%was 14

Persons Injured

6

▲ 50.0%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 · 2025-06-01 to 2025-06-30 · Aggregate counts from crash, person, and vehicle records

Trend Summary

Overall, total crashes in RAYNHAM, MA decreased by 16.1%, falling from 62 in June 2024 to 52 in June 2025. Conversely, total injuries saw a substantial increase of 64.3%, rising from 14 to 23 during the same period.

6

Hit-and-Run Crashes — June 2025

▲ 50.0% vs prior (4)

Hit-and-run crashes increased by 50% year-over-year, rising from 4 incidents in June 2024 to 6 in June 2025. Consequently, the hit-and-run rate increased from 6.5% of total crashes to 11.5%.

Vulnerable Road User Casualties

0

Motorists Killed

Prior: 0→0.0%

23

Motorists Injured

Prior: 13↑76.9%

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2025-06-01 to 2025-06-30 · 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 Saturday in June 2024 (12 crashes) to Monday in June 2025 (11 crashes). Similarly, the peak crash hour moved from 5 PM (8 crashes) in the prior year to 7 AM (7 crashes) in the current year, indicating a shift in high-incident periods.

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2025-06-01 to 2025-06-30 · Crash date field aggregated by weekday

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2025-06-01 to 2025-06-30 · Crash time field aggregated by hour (0-23)

Crash Severity Breakdown

Fatalities remained at zero in both June 2024 and June 2025. However, total injuries increased from 14 to 23, representing a 64.3% rise year-over-year. Minor injury crashes increased from 9 (14.5% of total crashes) to 12 (23.1% of total crashes), while no injury crashes decreased from 51 (82.3% of total crashes) to 38 (73.1% of total crashes).

Outcome by Severity (Crash Events)

Minor Injury12minor injury crashes23.1%
↑33.3%prior 9
Possible Injury2possible injury crashes3.8%
→0.0%prior 2
No Injury38no injury crashes73.1%
↓-25.5%prior 51

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2025-06-01 to 2025-06-30 · KABCO injury classification scale

Severity Distribution (Crash Events)

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2025-06-01 to 2025-06-30 · Most severe injury per crash record

Top Contributing Factors

The leading contributing factor shifted from 'Inattention' (20 crashes) in June 2024 to 'No improper driving' (14 crashes) in June 2025. 'Inattention' crashes decreased by 40% from 20 to 12, while 'No improper driving' incidents increased by 133.3% from 6 to 14. Crashes attributed to 'Failed to yield right of way' decreased by 25% from 12 to 9.

Officer-Reported Primary Contributing Cause

No improper driving14 (26.9%)↑133.3%prior 6
Inattention12 (23.1%)↓-40.0%prior 20
Failed to yield right of way9 (17.3%)↓-25.0%prior 12
Followed too closely5 (9.6%)↓-16.7%prior 6
Failure to keep in proper lane or running off road3 (5.8%)↓-66.7%prior 9
Glare2 (3.8%)
Illness1 (1.9%)
Operating defective equipment1 (1.9%)
Operating vehicle in erratic, reckless, careless, negligent or aggressive manner1 (1.9%)
Other improper action1 (1.9%)

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2025-06-01 to 2025-06-30 · Officer-reported primary contributory cause per crash

Road & Environmental Conditions

Clear weather remained the dominant condition for crashes, with incidents decreasing from 56 to 37 year-over-year. Crashes occurring in daylight decreased from 54 to 43, while those in 'Dark - lighted roadway' conditions increased from 2 to 4. Wet road crashes slightly decreased from 4 to 3.

Weather

Clear37 (71.2%)
↓-33.9%prior 56
Clear/Clear10 (19.2%)
Cloudy3 (5.8%)
Cloudy/Cloudy1 (1.9%)
Rain1 (1.9%)

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2025-06-01 to 2025-06-30 · Weather condition at time of crash

Lighting

Daylight43 (82.7%)
↓-20.4%prior 54
Dark - lighted roadway4 (7.7%)
Dark - roadway not lighted3 (5.8%)
Dark - unknown roadway lighting1 (1.9%)
Dusk1 (1.9%)

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2025-06-01 to 2025-06-30 · Lighting condition field

Road Surface

Dry49 (94.2%)
↓-15.5%prior 58
Wet3 (5.8%)

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2025-06-01 to 2025-06-30 · Road surface condition field

Vehicles & Demographics

Toyota remained the most common vehicle make involved in crashes, though its count decreased from 30 in June 2024 to 19 in June 2025. The 16-20 age group saw a 61.5% decrease in persons involved in crashes, falling from 13 to 5. Conversely, the 35-44 age group experienced a 47.1% increase, rising from 17 to 25 persons.

Top Vehicle Makes (109 vehicles)

1
TOYOTA19 (17.4%)
↓-36.7%prior 30
2
HONDA11 (10.1%)
↑37.5%prior 8
3
FORD8 (7.3%)
↓-20.0%prior 10
4
CHEVROLET8 (7.3%)
↓-27.3%prior 11
5
JEEP6 (5.5%)
↓-14.3%prior 7
6
NISSAN6 (5.5%)
→0.0%prior 6
7
HYUNDAI5 (4.6%)
8
VOLKSWAGEN4 (3.7%)
9
MAZDA3 (2.8%)
10
ACURA2 (1.8%)

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2025-06-01 to 2025-06-30 · Vehicle unit records

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

Sex Distribution (130 persons with recorded sex)

Female66 (50.8%)
↑15.8%prior 57
Male64 (49.2%)
↓-27.3%prior 88

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2025-06-01 to 2025-06-30 · Person-level records linked to crash events

Speed Limit Zones

Crashes occurring in 65 mph speed zones increased from 16 to 18 year-over-year. Conversely, incidents in 40 mph speed zones decreased by 35.3% from 17 to 11 crashes. All speed zones reported zero fatalities in both periods.

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2025-06-01 to 2025-06-30 · 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: 2025-06-01 through 2025-06-30
  • Report generated: June 21, 2026

Data Coverage

  • Reporting period: 2025-06-01 through 2025-06-30 (30 days)
  • Geographic scope: RAYNHAM, MA
  • Total crash records analyzed: 52
  • Total persons involved: 149
  • Total vehicles involved: 109

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). "RAYNHAM, MA Crash Intelligence Report: June 2025." Published June 21, 2026. Reporting period: 2025-06-01 to 2025-06-30. Data source: Massachusetts Crash Data (MassDOT CDV), Arcgis_yearly Open Data. Available at: https://thatcarhitme.com/crash-data/massachusetts/raynham/june-2025-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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Raynham, MA Crash Report — June 2025 | ThatCarHitMe.com