Monthly Traffic Safety Analysis

44 CRASHES IN
RAYNHAM, MA
MARCH 2024

All metrics benchmarked againstMarch 2023

In March 2024, RAYNHAM experienced 44 total crashes, a decrease of 2.2% compared to the 45 crashes recorded in March 2023. The most notable shift was a substantial 61.9% reduction in total injuries, from 21 in the prior period to 8 in the current period.

44

-2.2%was 45

Total Crash Events

0

Persons Killed

8

-61.9%was 21

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 · 2024-03-01 to 2024-03-31 · Aggregate counts from crash, person, and vehicle records

Trend Summary

Overall, crash activity in RAYNHAM saw a slight decrease year-over-year, with total crashes falling by 2.2% from 45 to 44. More significantly, total injuries decreased by 61.9%, from 21 in March 2023 to 8 in March 2024.

1

Hit-and-Run Crashes — March 2024

-66.7% vs prior (3)

Hit-and-run crashes decreased from 3 in March 2023 to 1 in March 2024. Consequently, the hit-and-run rate fell from 6.7% in the prior period to 2.3% in the current period, indicating a downward trend.

Vulnerable Road User Casualties

0

Motorists Killed

Prior: 00.0%

8

Motorists Injured

Prior: 20-60.0%

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2024-03-01 to 2024-03-31 · 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, Thursday, and Friday (each with 9 crashes) in March 2023 to Friday (10 crashes) in March 2024. The peak hour also changed, with 6 p.m. recording the most crashes (6) in March 2023, while 2 p.m. saw the highest count (7) in March 2024.

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2024-03-01 to 2024-03-31 · Crash date field aggregated by weekday

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2024-03-01 to 2024-03-31 · Crash time field aggregated by hour (0-23)

Crash Severity Breakdown

Fatalities remained at zero in both March 2023 and March 2024. Total injuries saw a significant decrease from 21 in the prior period to 8 in the current period. The proportion of crashes resulting in no injury increased from 68.9% in March 2023 to 84.1% in March 2024, while minor injuries (B) decreased from 17.8% to 9.1% of crashes.

Outcome by Severity (Crash Events)

Minor Injury4minor injury crashes9.1%
-50.0%prior 8
Possible Injury3possible injury crashes6.8%
-25.0%prior 4
No Injury37no injury crashes84.1%
19.4%prior 31

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2024-03-01 to 2024-03-31 · KABCO injury classification scale

Severity Distribution (Crash Events)

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2024-03-01 to 2024-03-31 · Most severe injury per crash record

Top Contributing Factors

Inattention and Followed too closely became the leading contributing factors in March 2024, both increasing from 4 and 5 crashes respectively in March 2023 to 10 crashes each. Conversely, Driving too fast for conditions saw a notable decrease from 8 crashes in March 2023 to 2 crashes in March 2024, and Failure to keep in proper lane or running off road decreased from 5 crashes to 2 crashes.

Officer-Reported Primary Contributing Cause

Inattention10 (22.7%)
Followed too closely10 (22.7%)100.0%prior 5
No improper driving6 (13.6%)0.0%prior 6
Failed to yield right of way5 (11.4%)
Failure to keep in proper lane or running off road2 (4.5%)-60.0%prior 5
Driving too fast for conditions2 (4.5%)-75.0%prior 8
Fatigued/asleep1 (2.3%)
Exceeded authorized speed limit1 (2.3%)
Other improper action1 (2.3%)
Physical impairment1 (2.3%)

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2024-03-01 to 2024-03-31 · Officer-reported primary contributory cause per crash

Road & Environmental Conditions

Crashes occurring in clear weather conditions increased from 23 in March 2023 to 30 in March 2024, while crashes during rain decreased from 6 to 4. There was a notable increase in crashes on wet road surfaces, rising from 10 in March 2023 to 13 in March 2024. Crashes occurring in daylight increased from 24 to 35, while those in unlit dark conditions decreased from 11 to 2.

Weather

Clear30 (68.2%)
30.4%prior 23
Cloudy/Rain5 (11.4%)
Rain4 (9.1%)
-33.3%prior 6
Rain/Severe crosswinds3 (6.8%)
Cloudy2 (4.5%)

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2024-03-01 to 2024-03-31 · Weather condition at time of crash

Lighting

Daylight35 (79.5%)
45.8%prior 24
Dark - lighted roadway5 (11.4%)
-37.5%prior 8
Dark - roadway not lighted2 (4.5%)
-81.8%prior 11
Dusk2 (4.5%)

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2024-03-01 to 2024-03-31 · Lighting condition field

Road Surface

Dry31 (70.5%)
3.3%prior 30
Wet13 (29.5%)
30.0%prior 10

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2024-03-01 to 2024-03-31 · Road surface condition field

Vehicles & Demographics

The total number of vehicles involved in crashes slightly increased from 84 in March 2023 to 86 in March 2024. Toyota became the top vehicle make involved in crashes in March 2024 with 16 vehicles, surpassing Honda which was the top make in March 2023 with 12 vehicles. The highest number of persons involved in crashes shifted from the 26-34 age group (21 persons) in March 2023 to the 45-54 age group (19 persons) in March 2024.

Top Vehicle Makes (86 vehicles)

1
TOYOTA16 (18.6%)
60.0%prior 10
2
NISSAN10 (11.6%)
25.0%prior 8
3
HONDA9 (10.5%)
-25.0%prior 12
4
CHEVROLET7 (8.1%)
5
DODGE5 (5.8%)
6
HYUNDAI4 (4.7%)
-42.9%prior 7
7
JEEP4 (4.7%)
8
VOLKSWAGEN4 (4.7%)
9
MAZDA4 (4.7%)
10
INFI2 (2.3%)

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2024-03-01 to 2024-03-31 · Vehicle unit records

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

Sex Distribution (97 persons with recorded sex)

Male53 (54.6%)
-18.5%prior 65
Female44 (45.4%)
15.8%prior 38

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2024-03-01 to 2024-03-31 · Person-level records linked to crash events

Speed Limit Zones

Crashes in the 65 mph speed limit zone decreased from 19 in March 2023 to 17 in March 2024, while crashes in the 40 mph zone decreased from 11 to 10. The 45 mph zone maintained 7 crashes in both periods. No fatalities were recorded in any speed limit zone during either period.

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2024-03-01 to 2024-03-31 · 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: 2024-03-01 through 2024-03-31
  • Report generated: June 21, 2026

Data Coverage

  • Reporting period: 2024-03-01 through 2024-03-31 (31 days)
  • Geographic scope: RAYNHAM, MA
  • Total crash records analyzed: 44
  • Total persons involved: 102
  • Total vehicles involved: 86

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: March 2024." Published June 21, 2026. Reporting period: 2024-03-01 to 2024-03-31. Data source: Massachusetts Crash Data (MassDOT CDV), Arcgis_yearly Open Data. Available at: https://thatcarhitme.com/crash-data/massachusetts/raynham/march-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 — March 2024 | ThatCarHitMe.com