Monthly Traffic Safety Analysis

41 CRASHES IN
RAYNHAM, MA
MAY 2025

All metrics benchmarked againstMay 2024

In May 2025, RAYNHAM experienced 41 total crashes, marking a 37.9% decrease compared to 66 crashes in May 2024. Total injuries also saw a significant reduction, falling from 29 to 16 year-over-year.

41

▼ -37.9%was 66

Total Crash Events

0

Persons Killed

16

▼ -44.8%was 29

Persons Injured

0

▼ -100.0%was 5

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 · 2025-05-01 to 2025-05-31 · Aggregate counts from crash, person, and vehicle records

Trend Summary

Overall, crash activity in RAYNHAM decreased significantly year-over-year. Total crashes fell by 37.9%, from 66 in May 2024 to 41 in May 2025. Concurrently, total injuries decreased by 44.8%, from 29 to 16.

Vulnerable Road User Casualties

0

Motorists Killed

Prior: 0→0.0%

16

Motorists Injured

Prior: 29↓-44.8%

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2025-05-01 to 2025-05-31 · Mode classified from person records (driver/passenger → motorist; pedestrian; bicyclist → cyclist; in-line skater / unspecified → other)

When Crashes Happen

The peak days for crashes remained Thursday and Friday in both May 2024 and May 2025. However, the peak crash hour shifted from 3p in May 2024, which recorded 10 crashes, to 6p in May 2025, which recorded 5 crashes.

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2025-05-01 to 2025-05-31 · Crash date field aggregated by weekday

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2025-05-01 to 2025-05-31 · Crash time field aggregated by hour (0-23)

Crash Severity Breakdown

Fatalities remained at zero in both May 2024 and May 2025. Total injuries decreased from 29 to 16 year-over-year. While 'No Injury' crashes remained the majority, the proportion of 'Minor Injury' crashes increased from 19.7% of total crashes in May 2024 to 29.3% in May 2025, and 'Serious Injury' and 'Possible Injury' categories, present in May 2024, were not observed in May 2025.

Outcome by Severity (Crash Events)

Minor Injury12minor injury crashes29.3%
↓-7.7%prior 13
No Injury29no injury crashes70.7%
↓-34.1%prior 44

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2025-05-01 to 2025-05-31 · KABCO injury classification scale

Severity Distribution (Crash Events)

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2025-05-01 to 2025-05-31 · Most severe injury per crash record

Top Contributing Factors

The leading contributing factor in May 2025 was 'Followed too closely' with 7 crashes, while 'Inattention' was the top factor in May 2024 with 19 crashes. Crashes attributed to 'Inattention' decreased by 68.4% from 19 to 6, and 'No improper driving' decreased by 71.4% from 14 to 4 year-over-year. 'Followed too closely' remained constant at 7 crashes in both periods.

Officer-Reported Primary Contributing Cause

Followed too closely7 (17.1%)→0.0%prior 7
Inattention6 (14.6%)↓-68.4%prior 19
Failed to yield right of way6 (14.6%)↓-14.3%prior 7
No improper driving4 (9.8%)↓-71.4%prior 14
Failure to keep in proper lane or running off road3 (7.3%)
Driving too fast for conditions3 (7.3%)
Swerving or avoiding due to wind, slippery surface, vehicle, object, vulnerable user in roadway2 (4.9%)
Physical impairment1 (2.4%)
Visibility obstructed1 (2.4%)
Disregarded traffic signs, signals, road markings1 (2.4%)

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2025-05-01 to 2025-05-31 · Officer-reported primary contributory cause per crash

Road & Environmental Conditions

Crashes occurring in 'Clear' weather conditions decreased from 54 to 21 year-over-year. Crashes on 'Wet' road surfaces increased from 8 in May 2024 to 12 in May 2025. There was also a notable increase in crashes during 'Dawn' lighting conditions, rising from 1 to 4.

Weather

Clear21 (51.2%)
↓-61.1%prior 54
Cloudy7 (17.1%)
Rain5 (12.2%)
→0.0%prior 5
Clear/Clear3 (7.3%)
Rain/Cloudy2 (4.9%)
Cloudy/Rain1 (2.4%)
Rain/Clear1 (2.4%)
Rain/Rain1 (2.4%)

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2025-05-01 to 2025-05-31 · Weather condition at time of crash

Lighting

Daylight31 (75.6%)
↓-44.6%prior 56
Dark - lighted roadway5 (12.2%)
Dawn4 (9.8%)
Dark - roadway not lighted1 (2.4%)

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2025-05-01 to 2025-05-31 · Lighting condition field

Road Surface

Dry28 (68.3%)
↓-50.9%prior 57
Wet12 (29.3%)
↑50.0%prior 8
Sand, mud, dirt, oil, gravel1 (2.4%)

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2025-05-01 to 2025-05-31 · Road surface condition field

Vehicles & Demographics

The total number of vehicles involved in crashes decreased from 126 in May 2024 to 74 in May 2025. TOYOTA, the top vehicle make involved in May 2024 with 20 vehicles, saw its count drop to 9, while FORD became the most frequent make with 10 vehicles in May 2025. The 26-34 age group consistently represented the highest number of persons involved in crashes in both periods.

Top Vehicle Makes (74 vehicles)

1
FORD10 (13.5%)
↓-41.2%prior 17
2
HONDA9 (12.2%)
↓-18.2%prior 11
3
TOYOTA9 (12.2%)
↓-55.0%prior 20
4
CHEVROLET7 (9.5%)
↑16.7%prior 6
5
NISSAN5 (6.8%)
↓-54.5%prior 11
6
GMC4 (5.4%)
7
VOLKSWAGEN3 (4.1%)
8
BMW3 (4.1%)
9
JEEP3 (4.1%)
10
SUBARU3 (4.1%)

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2025-05-01 to 2025-05-31 · Vehicle unit records

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

Sex Distribution (86 persons with recorded sex)

Male51 (59.3%)
↓-46.9%prior 96
Female35 (40.7%)
↓-43.5%prior 62

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2025-05-01 to 2025-05-31 · Person-level records linked to crash events

Speed Limit Zones

The 65 mph speed zone continued to account for the highest number of crashes in both periods, though its count decreased from 21 in May 2024 to 12 in May 2025. Crashes in the 40 mph zone also decreased from 13 to 7, and in the 30 mph zone from 11 to 7. No fatal crashes were recorded in any speed zone during either period.

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2025-05-01 to 2025-05-31 · 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: 2025-05-01 through 2025-05-31
  • Report generated: June 21, 2026

Data Coverage

  • Reporting period: 2025-05-01 through 2025-05-31 (31 days)
  • Geographic scope: RAYNHAM, MA
  • Total crash records analyzed: 41
  • Total persons involved: 87
  • Total vehicles involved: 74

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: May 2025." Published June 21, 2026. Reporting period: 2025-05-01 to 2025-05-31. Data source: Massachusetts Crash Data (MassDOT CDV), Arcgis_yearly Open Data. Available at: https://thatcarhitme.com/crash-data/massachusetts/raynham/may-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 — May 2025 | ThatCarHitMe.com