Monthly Traffic Safety Analysis

53 CRASHES IN
RAYNHAM, MA
JUNE 2023

All metrics benchmarked againstJune 2022

Total crashes in RAYNHAM decreased by 13.11%, from 61 in June 2022 to 53 in June 2023. This period also saw a notable 20.83% decrease in total injuries, falling from 24 to 19. No fatalities were reported in either period.

53

▼ -13.1%was 61

Total Crash Events

0

Persons Killed

19

▼ -20.8%was 24

Persons Injured

2

▼ -33.3%was 3

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 · 2023-06-01 to 2023-06-30 · Aggregate counts from crash, person, and vehicle records

Trend Summary

Overall, crash activity in RAYNHAM showed a decreasing trend year-over-year. Total crashes fell from 61 in June 2022 to 53 in June 2023, representing a 13.11% reduction. Total injuries also decreased by 20.83%, from 24 to 19.

2

Hit-and-Run Crashes — June 2023

▼ -33.3% vs prior (3)

Hit-and-run crashes decreased from 3 in June 2022 to 2 in June 2023. The hit-and-run crash rate also saw a decrease, moving from 4.9% to 3.8% year-over-year.

Vulnerable Road User Casualties

0

Motorists Killed

Prior: 0→0.0%

19

Motorists Injured

Prior: 24↓-20.8%

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 peak day for crashes shifted from Thursday in June 2022 (14 crashes) to Friday in June 2023 (14 crashes). The peak hour also changed, moving from 11 AM (9 crashes) in the prior period to 3 PM (5 crashes) in the current period, with a lower crash count.

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

There were no fatal crashes in either June 2022 or June 2023. Total injury crashes decreased by 30%, from 20 in June 2022 to 14 in June 2023. Specifically, minor injury crashes decreased from 15 to 10, and possible injury crashes decreased from 3 to 2, while serious injury crashes remained constant at 2.

Outcome by Severity (Crash Events)

Serious Injury2serious injury crashes3.8%
→0.0%prior 2
Minor Injury10minor injury crashes18.9%
↓-33.3%prior 15
Possible Injury2possible injury crashes3.8%
↓-33.3%prior 3
No Injury38no injury crashes71.7%
↓-5.0%prior 40

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

Inattention remained a leading contributing factor, decreasing from 19 crashes in June 2022 to 13 crashes in June 2023. Crashes attributed to No improper driving increased from 9 to 13, while Followed too closely decreased from 10 to 5 crashes. Failed to yield right of way remained constant at 8 crashes in both periods.

Officer-Reported Primary Contributing Cause

Inattention13 (24.5%)↓-31.6%prior 19
No improper driving13 (24.5%)↑44.4%prior 9
Failed to yield right of way8 (15.1%)→0.0%prior 8
Followed too closely5 (9.4%)↓-50.0%prior 10
Other improper action2 (3.8%)
Fatigued/asleep2 (3.8%)
Operating vehicle in erratic, reckless, careless, negligent or aggressive manner2 (3.8%)
Made an improper turn1 (1.9%)
Swerving or avoiding due to wind, slippery surface, vehicle, object, vulnerable user in roadway1 (1.9%)
Visibility obstructed1 (1.9%)

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 47 to 41, while those in cloudy conditions decreased from 9 to 6. Crashes on dry road surfaces decreased from 56 to 47, but crashes on wet road surfaces slightly increased from 5 to 6. Daylight crashes increased from 41 to 45, while crashes in dark-unlighted conditions significantly decreased from 8 to 1.

Weather

Clear41 (78.8%)
↓-12.8%prior 47
Cloudy6 (11.5%)
↓-33.3%prior 9
Rain/Cloudy2 (3.8%)
Clear/Rain1 (1.9%)
Clear/Cloudy1 (1.9%)
Cloudy/Rain1 (1.9%)

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

Lighting

Daylight45 (84.9%)
↑9.8%prior 41
Dark - lighted roadway7 (13.2%)
→0.0%prior 7
Dark - roadway not lighted1 (1.9%)
↓-87.5%prior 8

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

Road Surface

Dry47 (88.7%)
↓-16.1%prior 56
Wet6 (11.3%)
↑20.0%prior 5

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

Vehicles & Demographics

The total number of vehicles involved in crashes decreased from 113 to 102 year-over-year. Toyota remained the top make, though its involvement decreased from 29 to 15, while Honda and Nissan saw increased involvement from 9 to 14 and 7 to 12, respectively. Regarding persons' age distribution, the 16-20 age group saw a significant decrease from 22 to 9 persons involved, whereas the 65+ age group doubled its involvement from 7 to 14 persons.

Top Vehicle Makes (102 vehicles)

1
TOYOTA15 (14.7%)
↓-48.3%prior 29
2
HONDA14 (13.7%)
↑55.6%prior 9
3
FORD13 (12.7%)
↑30.0%prior 10
4
NISSAN12 (11.8%)
↑71.4%prior 7
5
JEEP11 (10.8%)
↑120.0%prior 5
6
CHEVROLET9 (8.8%)
↓-18.2%prior 11
7
GMC6 (5.9%)
8
AUDI2 (2%)
9
BMW2 (2%)
10
DODGE2 (2%)

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

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

Sex Distribution (127 persons with recorded sex)

Male71 (55.9%)
↑7.6%prior 66
Female56 (44.1%)
↓-17.6%prior 68

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

No fatal crashes were reported in any speed zone for either period. Crashes in 65 mph zones significantly decreased from 25 in June 2022 to 13 in June 2023. Conversely, crashes in 30 mph zones increased from 6 to 13, and 35 mph zones increased from 2 to 8.

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: RAYNHAM, MA
  • Total crash records analyzed: 53
  • Total persons involved: 140
  • Total vehicles involved: 102

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 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/raynham/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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Raynham, MA Crash Report — June 2023 | ThatCarHitMe.com