Monthly Traffic Safety Analysis

51 CRASHES IN
RAYNHAM, MA
SEPTEMBER 2024

All metrics benchmarked againstSeptember 2023

Total crashes in Raynham increased by 6.25%, from 48 in September 2023 to 51 in September 2024. The most significant shift observed was a 600% increase in speeding-related crashes, rising from 1 in the prior period to 7 in the current period. This contrasts with a 5% decrease in total injuries year-over-year.

51

6.3%was 48

Total Crash Events

0

Persons Killed

19

-5.0%was 20

Persons Injured

1

-66.7%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.

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2024-09-01 to 2024-09-30 · Aggregate counts from crash, person, and vehicle records

Trend Summary

Overall crash activity in Raynham shows a slight upward trend, with total crashes increasing by 6.25% from 48 to 51 year-over-year. While total fatalities remained at 0 in both periods, total injuries decreased by 5%, from 20 in September 2023 to 19 in September 2024.

1

Hit-and-Run Crashes — September 2024

-66.7% vs prior (3)

Hit-and-run crashes decreased significantly by 66.7%, from 3 crashes in September 2023 to 1 crash in September 2024. Consequently, the hit-and-run rate declined from 6.3% to 2% year-over-year.

Vulnerable Road User Casualties

0

Motorists Killed

Prior: 00.0%

19

Motorists Injured

Prior: 190.0%

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2024-09-01 to 2024-09-30 · 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 Friday with 13 crashes in September 2023 to Sunday with 12 crashes in September 2024. The peak hour for crashes also changed, moving from 3 p.m. with 5 crashes in the prior period to 4 p.m. with 8 crashes in the current period.

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2024-09-01 to 2024-09-30 · Crash date field aggregated by weekday

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2024-09-01 to 2024-09-30 · Crash time field aggregated by hour (0-23)

Crash Severity Breakdown

Fatal crashes remained at 0 in both September 2023 and September 2024. Minor injury crashes decreased by 41.7%, from 12 to 7, while possible injury crashes doubled, increasing from 3 to 6 year-over-year. The proportion of crashes resulting in no injury rose from a 68.8% share in the prior period to a 74.5% share in the current period.

Outcome by Severity (Crash Events)

Minor Injury7minor injury crashes13.7%
-41.7%prior 12
Possible Injury6possible injury crashes11.8%
100.0%prior 3
No Injury38no injury crashes74.5%
15.2%prior 33

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2024-09-01 to 2024-09-30 · KABCO injury classification scale

Severity Distribution (Crash Events)

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2024-09-01 to 2024-09-30 · Most severe injury per crash record

Top Contributing Factors

Failed to yield right of way became the top contributing factor in September 2024 with 13 crashes, a 62.5% increase from 8 crashes in September 2023. Followed too closely remained constant at 10 crashes in both periods, shifting from the top factor in the prior period to the second in the current period. Inattention crashes decreased by 66.7%, from 9 to 3 crashes year-over-year.

Officer-Reported Primary Contributing Cause

Failed to yield right of way13 (25.5%)62.5%prior 8
Followed too closely10 (19.6%)0.0%prior 10
Driving too fast for conditions5 (9.8%)
No improper driving4 (7.8%)-50.0%prior 8
Inattention3 (5.9%)-66.7%prior 9
Visibility obstructed2 (3.9%)
Failure to keep in proper lane or running off road2 (3.9%)
Exceeded authorized speed limit2 (3.9%)
Operating vehicle in erratic, reckless, careless, negligent or aggressive manner2 (3.9%)
Glare1 (2%)

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2024-09-01 to 2024-09-30 · Officer-reported primary contributory cause per crash

Road & Environmental Conditions

Crashes occurring in clear weather conditions slightly decreased from 35 to 34, while crashes in rainy conditions increased from 5 to 9 year-over-year. Crashes during daylight hours decreased from 37 to 32, but those occurring in dark-lighted roadway conditions rose significantly from 2 to 8 crashes.

Weather

Clear34 (68.0%)
-2.9%prior 35
Rain9 (18.0%)
80.0%prior 5
Cloudy4 (8.0%)
Cloudy/Rain2 (4.0%)
Fog, smog, smoke1 (2.0%)

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2024-09-01 to 2024-09-30 · Weather condition at time of crash

Lighting

Daylight32 (62.7%)
-13.5%prior 37
Dark - lighted roadway8 (15.7%)
Dark - roadway not lighted6 (11.8%)
Dawn4 (7.8%)
Dusk1 (2.0%)

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2024-09-01 to 2024-09-30 · Lighting condition field

Road Surface

Dry40 (78.4%)
5.3%prior 38
Wet11 (21.6%)
22.2%prior 9

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2024-09-01 to 2024-09-30 · Road surface condition field

Vehicles & Demographics

The total number of vehicles involved in crashes saw a minor increase from 96 to 97 year-over-year. Toyota remained the top vehicle make involved in crashes, though its count decreased from 21 to 20. A notable shift in person demographics includes a 375% increase in persons aged 16-20 involved in crashes, rising from 4 to 19.

Top Vehicle Makes (97 vehicles)

1
TOYOTA20 (20.6%)
-4.8%prior 21
2
HONDA11 (11.3%)
-31.3%prior 16
3
CHEVROLET10 (10.3%)
25.0%prior 8
4
NISSAN9 (9.3%)
-10.0%prior 10
5
HYUNDAI6 (6.2%)
6
FORD6 (6.2%)
20.0%prior 5
7
KIA5 (5.2%)
8
VOLKSWAGEN4 (4.1%)
9
JEEP3 (3.1%)
-40.0%prior 5
10
SUBARU3 (3.1%)

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2024-09-01 to 2024-09-30 · Vehicle unit records

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

Sex Distribution (109 persons with recorded sex)

Male60 (55.0%)
-7.7%prior 65
Female49 (45.0%)
19.5%prior 41

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2024-09-01 to 2024-09-30 · Person-level records linked to crash events

Speed Limit Zones

Crashes in 65 mph speed zones increased by 20%, from 15 in September 2023 to 18 in September 2024, making it the zone with the most crashes in the current period. Conversely, crashes in 30 mph zones decreased by 25%, from 12 to 9. No fatal crashes were recorded in any speed zone during either period.

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2024-09-01 to 2024-09-30 · 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: 2024-09-01 through 2024-09-30
  • Report generated: June 21, 2026

Data Coverage

  • Reporting period: 2024-09-01 through 2024-09-30 (30 days)
  • Geographic scope: RAYNHAM, MA
  • Total crash records analyzed: 51
  • Total persons involved: 116
  • Total vehicles involved: 97

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: September 2024." Published June 21, 2026. Reporting period: 2024-09-01 to 2024-09-30. Data source: Massachusetts Crash Data (MassDOT CDV), Arcgis_yearly Open Data. Available at: https://thatcarhitme.com/crash-data/massachusetts/raynham/september-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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Raynham, MA Crash Report — September 2024 | ThatCarHitMe.com