Monthly Traffic Safety Analysis

23 CRASHES IN
REHOBOTH, MA
APRIL 2024

All metrics benchmarked againstApril 2023

In April 2024, REHOBOTH experienced 23 total crashes, a 4.5% increase compared to 22 crashes in April 2023. A notable year-over-year shift was the significant decrease in total injuries, falling from 9 in April 2023 to 3 in April 2024. Fatalities remained at 0 in both periods.

23

4.5%was 22

Total Crash Events

0

Persons Killed

3

-66.7%was 9

Persons Injured

0

-100.0%was 1

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. 1 crash with unreported severity is not shown in the severity breakdown.

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2024-04-01 to 2024-04-30 · Aggregate counts from crash, person, and vehicle records

Trend Summary

The overall trend shows a slight increase in total crashes, rising from 22 in April 2023 to 23 in April 2024, representing a 4.5% increase. Conversely, total injuries decreased substantially by 66.7%, from 9 in April 2023 to 3 in April 2024. Fatal crashes remained stable at 0 for both periods.

Vulnerable Road User Casualties

0

Motorists Killed

Prior: 00.0%

3

Motorists Injured

Prior: 8-62.5%

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2024-04-01 to 2024-04-30 · 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, which recorded 4 crashes in April 2023, to Wednesday, with 6 crashes in April 2024. The peak hour remained 4p, with crashes increasing from 3 in April 2023 to 4 in April 2024. Additionally, crashes on Sunday decreased from 4 to 1 year-over-year.

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2024-04-01 to 2024-04-30 · Crash date field aggregated by weekday

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2024-04-01 to 2024-04-30 · Crash time field aggregated by hour (0-23)

Crash Severity Breakdown

Fatalities remained at 0 in both April 2023 and April 2024, with no fatal crashes reported in either period. Total injuries saw a significant decrease of 66.7%, dropping from 9 in April 2023 to 3 in April 2024. The proportion of crashes resulting in any injury (A, B, or C) decreased from 36.4% (8 of 22 crashes) in April 2023 to 8.7% (2 of 23 crashes) in April 2024.

Outcome by Severity (Crash Events)

Possible Injury2possible injury crashes8.7%
100.0%prior 1
No Injury20no injury crashes87%
42.9%prior 14

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2024-04-01 to 2024-04-30 · KABCO injury classification scale

Severity Distribution (Crash Events)

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2024-04-01 to 2024-04-30 · Most severe injury per crash record

Top Contributing Factors

The top contributing factor, 'No improper driving,' decreased from 11 crashes in April 2023 to 4 crashes in April 2024, representing a 63.6% reduction in count. Conversely, 'Other improper action' increased by 150%, from 2 crashes in April 2023 to 5 crashes in April 2024. 'Failed to yield right of way' remained constant at 2 crashes in both periods.

Officer-Reported Primary Contributing Cause

Other improper action5 (21.7%)
No improper driving4 (17.4%)-63.6%prior 11
Failure to keep in proper lane or running off road4 (17.4%)
Swerving or avoiding due to wind, slippery surface, vehicle, object, vulnerable user in roadway2 (8.7%)
Operating vehicle in erratic, reckless, careless, negligent or aggressive manner2 (8.7%)
Failed to yield right of way2 (8.7%)
Physical impairment1 (4.3%)
Fatigued/asleep1 (4.3%)
Glare1 (4.3%)
Followed too closely1 (4.3%)

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2024-04-01 to 2024-04-30 · Officer-reported primary contributory cause per crash

Road & Environmental Conditions

Crashes occurring in clear weather conditions increased from 15 in April 2023 to 17 in April 2024, while those on wet road surfaces decreased from 6 to 3 crashes. Crashes in 'Dark - roadway not lighted' conditions saw a notable decrease from 5 in April 2023 to 1 in April 2024. The proportion of crashes occurring during daylight hours increased from 72.7% (16 of 22) to 87.0% (20 of 23).

Weather

Clear17 (73.9%)
13.3%prior 15
Cloudy3 (13.0%)
Rain2 (8.7%)
Cloudy/Rain1 (4.3%)

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2024-04-01 to 2024-04-30 · Weather condition at time of crash

Lighting

Daylight20 (87.0%)
25.0%prior 16
Dark - lighted roadway2 (8.7%)
Dark - roadway not lighted1 (4.3%)
-80.0%prior 5

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2024-04-01 to 2024-04-30 · Lighting condition field

Road Surface

Dry20 (87.0%)
25.0%prior 16
Wet3 (13.0%)
-50.0%prior 6

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2024-04-01 to 2024-04-30 · Road surface condition field

Vehicles & Demographics

Top Vehicle Makes (35 vehicles)

1
FORD5 (14.3%)
2
CHEVROLET5 (14.3%)
3
TOYOTA4 (11.4%)
-63.6%prior 11
4
NISSAN4 (11.4%)
5
VOLKSWAGEN2 (5.7%)
6
GMC2 (5.7%)
7
KIA2 (5.7%)
8
JAGU1 (2.9%)
9
JEEP1 (2.9%)
10
AUDI1 (2.9%)

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2024-04-01 to 2024-04-30 · Vehicle unit records

Sex Distribution (44 persons with recorded sex)

Male34 (77.3%)
9.7%prior 31
Female10 (22.7%)
-16.7%prior 12

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2024-04-01 to 2024-04-30 · Person-level records linked to crash events

Speed Limit Zones

There were no fatal crashes reported in any speed zone during either April 2023 or April 2024. Crashes in the 65 mph speed zone decreased from 4 in April 2023 to 0 in April 2024. Conversely, crashes in the 50 mph speed zone increased from 6 to 8, and in the 40 mph speed zone from 3 to 5.

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2024-04-01 to 2024-04-30 · 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: 2024-04-01 through 2024-04-30
  • Report generated: June 21, 2026

Data Coverage

  • Reporting period: 2024-04-01 through 2024-04-30 (30 days)
  • Geographic scope: REHOBOTH, MA
  • Total crash records analyzed: 23
  • Total persons involved: 45
  • Total vehicles involved: 35

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: April 2024." Published June 21, 2026. Reporting period: 2024-04-01 to 2024-04-30. Data source: Massachusetts Crash Data (MassDOT CDV), Arcgis_yearly Open Data. Available at: https://thatcarhitme.com/crash-data/massachusetts/rehoboth/april-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 — April 2024 | ThatCarHitMe.com