Monthly Traffic Safety Analysis

22 CRASHES IN
REHOBOTH, MA
SEPTEMBER 2024

All metrics benchmarked againstSeptember 2023

In September 2024, REHOBOTH experienced 22 crashes, an 8.3% decrease from the 24 crashes in September 2023. The most significant shift was the occurrence of one fatality in 2024, compared to zero fatalities in the prior year.

22

-8.3%was 24

Total Crash Events

1

Persons Killed

8

-20.0%was 10

Persons Injured

1

Fatal Crash Events

Note: "Persons Killed" (1) counts individual fatalities across all crash events. "Fatal" in the severity table below (1) 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 · 2024-09-01 to 2024-09-30 · Aggregate counts from crash, person, and vehicle records

Trend Summary

Overall, total crashes in REHOBOTH decreased by 8.3% year-over-year, from 24 crashes in September 2023 to 22 crashes in September 2024. However, total fatalities increased from 0 to 1, while total injuries decreased from 10 to 8.

Vulnerable Road User Casualties

1

Cyclists Killed

Prior: 0%

0

Motorists Killed

Prior: 00.0%

0

Cyclists Injured

Prior: 00.0%

8

Motorists Injured

Prior: 10-20.0%

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 Saturday, with 9 crashes in September 2023, to Tuesday, with 5 crashes in September 2024. The peak hour also shifted from 2 PM in 2023 to 5 PM in 2024, both periods recording 4 crashes at their respective peak hours.

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 increased from 0 in September 2023 to 1 in September 2024, representing 4.5% of all crashes in the current period. Total injuries decreased from 10 to 8 year-over-year. The proportion of minor injury crashes decreased from 20.8% to 13.6%, while possible injury crashes increased from 4.2% to 9.1%.

Outcome by Severity (Crash Events)

Fatal1fatal crashes4.5%
Minor Injury3minor injury crashes13.6%
-40.0%prior 5
Possible Injury2possible injury crashes9.1%
100.0%prior 1
No Injury15no injury crashes68.2%
-16.7%prior 18

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

The top contributing factor, 'No improper driving,' decreased in count from 7 crashes in September 2023 to 5 crashes in September 2024. 'Failed to yield right of way' saw a notable increase in count, rising from 1 crash to 4 crashes. Factors such as 'Operating vehicle in erratic, reckless, careless, negligent or aggressive manner' and 'Driving too fast for conditions' were present in the prior year with 4 and 2 crashes respectively, but were not among the listed contributing factors in the current period.

Officer-Reported Primary Contributing Cause

No improper driving5 (22.7%)-28.6%prior 7
Failed to yield right of way4 (18.2%)
Failure to keep in proper lane or running off road3 (13.6%)
Fatigued/asleep3 (13.6%)
Inattention1 (4.5%)
Followed too closely1 (4.5%)
Distracted1 (4.5%)
Other improper action1 (4.5%)
Visibility obstructed1 (4.5%)

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

The proportion of crashes occurring under clear weather conditions increased from 13 crashes in September 2023 to 17 crashes in September 2024. Concurrently, crashes in rainy conditions (including Cloudy/Rain and Rain/Cloudy) decreased from a total of 9 to 2 crashes. Similarly, crashes on dry road surfaces increased from 15 to 19, while wet road crashes decreased from 9 to 3.

Weather

Clear17 (77.3%)
30.8%prior 13
Cloudy3 (13.6%)
Cloudy/Rain1 (4.5%)
Rain1 (4.5%)
-80.0%prior 5

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

Lighting

Daylight19 (86.4%)
18.8%prior 16
Dark - roadway not lighted3 (13.6%)

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

Road Surface

Dry19 (86.4%)
26.7%prior 15
Wet3 (13.6%)
-66.7%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

Top Vehicle Makes (37 vehicles)

1
HONDA7 (18.9%)
2
TOYOTA5 (13.5%)
-44.4%prior 9
3
FORD5 (13.5%)
-28.6%prior 7
4
NISSAN5 (13.5%)
5
JEEP3 (8.1%)
6
HYUNDAI1 (2.7%)
7
KIA1 (2.7%)
8
MERCEDES-BENZ1 (2.7%)
9
SUBARU1 (2.7%)
10
THMS1 (2.7%)

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

Sex Distribution (45 persons with recorded sex)

Male25 (55.6%)
4.2%prior 24
Female20 (44.4%)
53.8%prior 13

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

A fatal crash occurred in a 45 mph speed zone in September 2024, where no fatal crashes were recorded in the prior year. Crashes in 40 mph zones decreased from 8 to 5, and in 50 mph zones from 6 to 5. Conversely, crashes in 25 mph, 30 mph, and 35 mph zones each increased by 1 crash year-over-year.

Fatal crashes by zone: 45 mph: 1 of 2 (50%)

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: REHOBOTH, MA
  • Total crash records analyzed: 22
  • Total persons involved: 46
  • Total vehicles involved: 37

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). "REHOBOTH, 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/rehoboth/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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Rehoboth, MA Crash Report — September 2024 | ThatCarHitMe.com