Monthly Traffic Safety Analysis

20 CRASHES IN
REHOBOTH, MA
FEBRUARY 2024

All metrics benchmarked againstFebruary 2023

In February 2024, REHOBOTH, MA experienced 20 crashes, a 9.1% decrease compared to the 22 crashes reported in February 2023. The most notable year-over-year shift was a 60% reduction in total injuries, from 5 in the prior period to 2 in the current period. Additionally, DUI crashes increased from 0 to 1, while speeding crashes decreased from 3 to 1.

20

-9.1%was 22

Total Crash Events

0

Persons Killed

2

-60.0%was 5

Persons Injured

0

Fatal Crash Events

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 · 2024-02-01 to 2024-02-29 · Aggregate counts from crash, person, and vehicle records

Trend Summary

Overall, crash trends in REHOBOTH, MA show a slight decrease in total crashes, falling from 22 in February 2023 to 20 in February 2024, representing a 9.1% reduction. This period also saw a significant 60% decrease in total injuries, from 5 to 2, while total fatalities remained at 0 in both periods.

Vulnerable Road User Casualties

0

Motorists Killed

Prior: 00.0%

2

Motorists Injured

Prior: 5-60.0%

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2024-02-01 to 2024-02-29 · Mode classified from person records (driver/passenger → motorist; pedestrian; bicyclist → cyclist; in-line skater / unspecified → other)

When Crashes Happen

The peak day for crashes remained Tuesday in both periods, though the count decreased from 9 crashes in February 2023 to 6 crashes in February 2024. The peak crash hour shifted from 4p with 4 crashes in the prior period to 9p with 2 crashes in the current period. Crash distribution across the day became more dispersed in February 2024, with fewer distinct peaks compared to the prior year.

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2024-02-01 to 2024-02-29 · Crash date field aggregated by weekday

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2024-02-01 to 2024-02-29 · Crash time field aggregated by hour (0-23)

Crash Severity Breakdown

Total fatalities remained at 0 in both February 2023 and February 2024. Total injuries decreased from 5 in the prior period to 2 in the current period, a 60% reduction. In February 2024, all 2 reported injuries were classified as 'Possible Injury', whereas February 2023 included 1 'Serious Injury', 2 'Minor Injuries', and 2 'Possible Injuries'.

Outcome by Severity (Crash Events)

Possible Injury1possible injury crashes5%
-50.0%prior 2
No Injury19no injury crashes95%
11.8%prior 17

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2024-02-01 to 2024-02-29 · KABCO injury classification scale

Severity Distribution (Crash Events)

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2024-02-01 to 2024-02-29 · Most severe injury per crash record

Top Contributing Factors

The count of crashes attributed to 'No improper driving' increased from 10 in February 2023 to 12 in February 2024. Crashes involving 'Driving too fast for conditions' decreased by 2, from 3 to 1, and 'Failure to keep in proper lane or running off road' decreased by 1, from 2 to 1. Notably, 'Operating vehicle in erratic, reckless, careless, negligent or aggressive manner' appeared as a factor in 2 crashes in February 2024, while it was not listed in February 2023.

Officer-Reported Primary Contributing Cause

No improper driving12 (60%)20.0%prior 10
Operating vehicle in erratic, reckless, careless, negligent or aggressive manner2 (10%)
Failure to keep in proper lane or running off road1 (5%)
Other improper action1 (5%)
Over-correcting/over-steering1 (5%)
Driving too fast for conditions1 (5%)
Failed to yield right of way1 (5%)

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2024-02-01 to 2024-02-29 · Officer-reported primary contributory cause per crash

Road & Environmental Conditions

The proportion of crashes occurring in 'Daylight' conditions increased from 10 in February 2023 to 15 in February 2024, while crashes in 'Dark - roadway not lighted' decreased from 7 to 5. Crashes on 'Dry' road surfaces slightly increased from 12 to 13, and those on 'Snow' surfaces increased from 3 to 5. Conversely, crashes on 'Wet' surfaces decreased from 4 to 2, and 'Ice' conditions, which accounted for 3 crashes in the prior period, were not reported in the current period.

Weather

Clear12 (60.0%)
9.1%prior 11
Snow/Sleet, hail (freezing rain or drizzle)3 (15.0%)
Cloudy2 (10.0%)
Snow2 (10.0%)
Cloudy/Snow1 (5.0%)

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2024-02-01 to 2024-02-29 · Weather condition at time of crash

Lighting

Daylight15 (75.0%)
50.0%prior 10
Dark - roadway not lighted5 (25.0%)
-28.6%prior 7

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2024-02-01 to 2024-02-29 · Lighting condition field

Road Surface

Dry13 (65.0%)
8.3%prior 12
Snow5 (25.0%)
Wet2 (10.0%)

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2024-02-01 to 2024-02-29 · Road surface condition field

Vehicles & Demographics

Top Vehicle Makes (26 vehicles)

1
FORD5 (19.2%)
0.0%prior 5
2
TOYOTA4 (15.4%)
-50.0%prior 8
3
HYUNDAI3 (11.5%)
4
HONDA2 (7.7%)
5
NISSAN2 (7.7%)
6
CHEVROLET2 (7.7%)
7
JEEP2 (7.7%)
8
VOLKSWAGEN1 (3.8%)
9
BMW1 (3.8%)
10
GMC1 (3.8%)

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2024-02-01 to 2024-02-29 · Vehicle unit records

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

Sex Distribution (36 persons with recorded sex)

Male25 (69.4%)
4.2%prior 24
Female11 (30.6%)
-21.4%prior 14

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2024-02-01 to 2024-02-29 · Person-level records linked to crash events

Speed Limit Zones

Crashes at lower speed limits saw a slight increase, with those in 25 mph zones rising from 2 to 3, 30 mph zones from 1 to 2, and 35 mph zones from 4 to 5. Conversely, crashes in higher speed zones decreased, with 40 mph zones dropping from 9 to 8 and 50 mph zones decreasing from 4 to 2. Crashes in 45 mph and 65 mph zones, present in February 2023, were not reported in February 2024.

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2024-02-01 to 2024-02-29 · 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: 2024-02-01 through 2024-02-29
  • Report generated: June 21, 2026

Data Coverage

  • Reporting period: 2024-02-01 through 2024-02-29 (29 days)
  • Geographic scope: REHOBOTH, MA
  • Total crash records analyzed: 20
  • Total persons involved: 37
  • Total vehicles involved: 26

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: February 2024." Published June 21, 2026. Reporting period: 2024-02-01 to 2024-02-29. Data source: Massachusetts Crash Data (MassDOT CDV), Arcgis_yearly Open Data. Available at: https://thatcarhitme.com/crash-data/massachusetts/rehoboth/february-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 — February 2024 | ThatCarHitMe.com