Monthly Traffic Safety Analysis

16 CRASHES IN
DENNIS, MA
APRIL 2024

All metrics benchmarked againstApril 2023

In April 2024, Dennis, MA recorded 16 total crashes, a decrease from 24 crashes in April 2023, representing a 33.3% reduction year-over-year. The most notable shift was the increase in hit-and-run crashes, which quadrupled from 1 to 4 incidents. Total injuries remained stable at 6 in both periods, while fatalities remained at 0.

16

-33.3%was 24

Total Crash Events

0

Persons Killed

6

Persons Injured

4

300.0%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. 4 crashes with unreported severity are 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

Total crashes in Dennis, MA experienced a significant decrease, falling from 24 in April 2023 to 16 in April 2024. This represents a 33.3% reduction in overall crash incidents year-over-year. Despite the reduction in total crashes, the number of injuries remained consistent at 6 in both periods.

4

Hit-and-Run Crashes — April 2024

300.0% vs prior (1)

Hit-and-run incidents significantly increased year-over-year, rising from 1 crash in April 2023 to 4 crashes in April 2024. This resulted in the hit-and-run rate climbing from 4.2% to 25% of all crashes, indicating an upward trend in these types of incidents.

Vulnerable Road User Casualties

0

Motorists Killed

Prior: 00.0%

6

Motorists Injured

Prior: 60.0%

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 temporal patterns of crashes shifted significantly year-over-year. In April 2023, the peak day for crashes was Saturday with 5 incidents, and the peak hour was 5 PM with 5 crashes. In contrast, April 2024 saw Monday become the peak day with 5 crashes, and 7 AM emerged as the peak hour with 3 crashes.

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

Total fatalities remained at 0 in both April 2023 and April 2024, and total injuries also remained constant at 6. However, the distribution of injury severities changed, with April 2024 recording 1 serious injury crash and 2 minor injury crashes, which were not present in April 2023's data. Possible injury crashes decreased from 3 in April 2023 to 1 in April 2024.

Outcome by Severity (Crash Events)

Serious Injury1serious injury crashes6.3%
Minor Injury2minor injury crashes12.5%
Possible Injury1possible injury crashes6.3%
-66.7%prior 3
No Injury8no injury crashes50%
-57.9%prior 19

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

Among contributing factors, 'Inattention' decreased from 7 crashes in April 2023 to 4 crashes in April 2024, a 42.9% reduction in count. 'Followed too closely' increased from 2 crashes to 3 crashes, a 50% increase in count. 'No improper driving' decreased from 4 crashes to 2 crashes, a 50% reduction in count, while 'Illness' remained constant at 1 crash in both periods.

Officer-Reported Primary Contributing Cause

Inattention4 (25%)-42.9%prior 7
Followed too closely3 (18.8%)
No improper driving2 (12.5%)
Illness1 (6.3%)
History heart/epilepsy/fainting1 (6.3%)
Operating vehicle in erratic, reckless, careless, negligent or aggressive manner1 (6.3%)
Failure to keep in proper lane or running off road1 (6.3%)

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

Clear weather remained the dominant condition for crashes in both periods, with 13 crashes in April 2024 compared to 17 in April 2023. Crashes occurring in wet road surface conditions decreased from 4 in April 2023 to 2 in April 2024. Daylight conditions continued to account for the majority of crashes, with 15 in April 2024 and 19 in April 2023.

Weather

Clear13 (81.3%)
-23.5%prior 17
Cloudy/Rain2 (12.5%)
Cloudy1 (6.3%)

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

Lighting

Daylight15 (93.8%)
-21.1%prior 19
Dark - roadway not lighted1 (6.3%)

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

Road Surface

Dry14 (87.5%)
-30.0%prior 20
Wet2 (12.5%)

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 (30 vehicles)

1
TOYOTA7 (23.3%)
-30.0%prior 10
2
FORD5 (16.7%)
3
HONDA3 (10%)
4
GMC2 (6.7%)
5
CHEVROLET2 (6.7%)
6
SUBARU1 (3.3%)
7
TUSA1 (3.3%)
8
HYUNDAI1 (3.3%)
9
BMW1 (3.3%)
10
DODGE1 (3.3%)

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

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

Sex Distribution (25 persons with recorded sex)

Male15 (60.0%)
-37.5%prior 24
Female10 (40.0%)
-60.0%prior 25

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

Crashes in 25 MPH and 30 MPH speed zones decreased from 6 crashes each in April 2023 to 3 crashes each in April 2024. Crashes in the 35 MPH zone also decreased from 6 to 2. There were no fatal crashes reported in any speed zone during either the April 2023 or April 2024 periods.

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: DENNIS, MA
  • Total crash records analyzed: 16
  • Total persons involved: 34
  • Total vehicles involved: 30

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). "DENNIS, 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/dennis/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

ThatCarHitMe.com · An Injuria.ai Company

Dennis, MA Crash Report — April 2024 | ThatCarHitMe.com