Monthly Traffic Safety Analysis

25 CRASHES IN
REHOBOTH, MA
SEPTEMBER 2025

All metrics benchmarked againstSeptember 2024

In September 2025, REHOBOTH experienced 25 crashes, an increase of 13.64% compared to the 22 crashes reported in September 2024. While total fatalities remained constant at 1, there was a notable shift from 0 motorist fatalities in the prior year to 1 motorist fatality in the current period.

25

13.6%was 22

Total Crash Events

1

Persons Killed

8

Persons Injured

1

Hit-and-Run Crashes

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.

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2025-09-01 to 2025-09-30 · Aggregate counts from crash, person, and vehicle records

Trend Summary

Overall, crash incidents in REHOBOTH showed an upward trend year-over-year, increasing by 13.64% from 22 crashes in September 2024 to 25 crashes in September 2025. Total injuries remained stable at 8 in both periods, and total fatalities also remained at 1 in both periods.

1

Hit-and-Run Crashes — September 2025

4.0% hit-and-run rate this period vs 0.0% prior. Prior period: 0.

Vulnerable Road User Casualties

1

Motorists Killed

Prior: 0%

8

Motorists Injured

Prior: 80.0%

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2025-09-01 to 2025-09-30 · Mode classified from person records (driver/passenger → motorist; pedestrian; bicyclist → cyclist; in-line skater / unspecified → other)

When Crashes Happen

The temporal distribution of crashes shifted year-over-year, with the peak day moving from Tuesday (5 crashes) in September 2024 to Friday (5 crashes) in September 2025. A notable change was observed in peak crash hours, shifting from 5 PM (4 crashes) in the prior period to 11 PM (3 crashes) in the current period. Crashes on Mondays increased from 1 to 5, while Saturday crashes decreased from 2 to 0.

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2025-09-01 to 2025-09-30 · Crash date field aggregated by weekday

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2025-09-01 to 2025-09-30 · Crash time field aggregated by hour (0-23)

Crash Severity Breakdown

The fatal crash rate slightly decreased from 4.55% in September 2024 to 4% in September 2025, although the total number of fatal crashes remained at 1 in both periods. There was an increase in crashes resulting in serious injury, from 0 in the prior period to 1 in the current period. Concurrently, crashes with minor injuries decreased from 3 (13.6%) to 2 (8%), while no-injury crashes increased from 15 (68.2%) to 19 (76%).

Outcome by Severity (Crash Events)

Fatal1fatal crashes4%
0.0%prior 1
Serious Injury1serious injury crashes4%
Minor Injury2minor injury crashes8%
-33.3%prior 3
Possible Injury2possible injury crashes8%
0.0%prior 2
No Injury19no injury crashes76%
26.7%prior 15

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2025-09-01 to 2025-09-30 · KABCO injury classification scale

Severity Distribution (Crash Events)

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2025-09-01 to 2025-09-30 · Most severe injury per crash record

Top Contributing Factors

The most frequent contributing factor in both periods remained "No improper driving," which increased from 5 crashes in September 2024 to 8 crashes in September 2025, representing a 60% increase in count. "Failed to yield right of way" also saw an increase, from 4 crashes to 5 crashes. "Inattention" more than doubled, rising from 1 crash in the prior period to 3 crashes in the current period. "Physical impairment" emerged as a factor in 3 crashes in the current period, while "Fatigued/asleep" (3 crashes) and "Visibility obstructed" (1 crash) were present in the prior period but not in the current.

Officer-Reported Primary Contributing Cause

No improper driving8 (32%)60.0%prior 5
Failed to yield right of way5 (20%)
Inattention3 (12%)
Physical impairment3 (12%)
Failure to keep in proper lane or running off road3 (12%)
Followed too closely1 (4%)
Driving too fast for conditions1 (4%)
Distracted1 (4%)

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2025-09-01 to 2025-09-30 · Officer-reported primary contributory cause per crash

Road & Environmental Conditions

Crashes occurring in "Clear" weather conditions remained consistent at 17 incidents in both September 2024 and September 2025. However, crashes during "Rain" increased from 1 to 3, and "Fog, smog, smoke" conditions appeared in 2 crashes in the current period, compared to none in the prior period. There was a notable shift in lighting conditions, with crashes in "Daylight" decreasing from 19 to 16, while crashes in "Dark - roadway not lighted" increased from 3 to 7. The number of crashes on "Wet" road surfaces also increased significantly, from 3 to 8.

Weather

Clear17 (68.0%)
0.0%prior 17
Rain3 (12.0%)
Fog, smog, smoke2 (8.0%)
Clear/Clear1 (4.0%)
Clear/Fog, smog, smoke1 (4.0%)
Cloudy/Clear1 (4.0%)

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2025-09-01 to 2025-09-30 · Weather condition at time of crash

Lighting

Daylight16 (64.0%)
-15.8%prior 19
Dark - roadway not lighted7 (28.0%)
Dark - lighted roadway1 (4.0%)
Dawn1 (4.0%)

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2025-09-01 to 2025-09-30 · Lighting condition field

Road Surface

Dry17 (68.0%)
-10.5%prior 19
Wet8 (32.0%)

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2025-09-01 to 2025-09-30 · Road surface condition field

Vehicles & Demographics

Top Vehicle Makes (39 vehicles)

1
TOYOTA8 (20.5%)
60.0%prior 5
2
HONDA4 (10.3%)
-42.9%prior 7
3
CHEVROLET3 (7.7%)
4
NISSAN3 (7.7%)
-40.0%prior 5
5
KIA3 (7.7%)
6
VOLVO2 (5.1%)
7
HYUNDAI2 (5.1%)
8
JEEP2 (5.1%)
9
VOLKSWAGEN1 (2.6%)
10
KENW1 (2.6%)

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2025-09-01 to 2025-09-30 · Vehicle unit records

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

Sex Distribution (52 persons with recorded sex)

Female28 (53.8%)
40.0%prior 20
Male24 (46.2%)
-4.0%prior 25

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2025-09-01 to 2025-09-30 · Person-level records linked to crash events

Speed Limit Zones

The distribution of crashes across speed zones changed, with an increase in crashes in the 30 mph zone, rising from 2 in September 2024 to 5 in September 2025. Conversely, crashes in the 50 mph zone decreased from 5 to 3. The single fatal crash in the current period occurred in a 65 mph zone (1 out of 2 crashes in that zone), whereas the prior period's fatal crash occurred in a 45 mph zone (1 out of 2 crashes in that zone). New speed zones appeared in the current data, including 5 mph, 20 mph, and 60 mph, which were not present in the prior period's data.

Fatal crashes by zone: 65 mph: 1 of 2 (50%)

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2025-09-01 to 2025-09-30 · 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: 2025-09-01 through 2025-09-30
  • Report generated: June 21, 2026

Data Coverage

  • Reporting period: 2025-09-01 through 2025-09-30 (30 days)
  • Geographic scope: REHOBOTH, MA
  • Total crash records analyzed: 25
  • Total persons involved: 55
  • Total vehicles involved: 39

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 2025." Published June 21, 2026. Reporting period: 2025-09-01 to 2025-09-30. Data source: Massachusetts Crash Data (MassDOT CDV), Arcgis_yearly Open Data. Available at: https://thatcarhitme.com/crash-data/massachusetts/rehoboth/september-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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Rehoboth, MA Crash Report — September 2025 | ThatCarHitMe.com