Monthly Traffic Safety Analysis

34 CRASHES IN
YARMOUTH, MA
APRIL 2024

All metrics benchmarked againstApril 2023

Total crashes in Yarmouth increased by 13.3%, from 30 in April 2023 to 34 in April 2024. The most notable shift was a 128.6% increase in total injuries, rising from 7 to 16 year-over-year. Fatalities remained at 0 in both periods.

34

13.3%was 30

Total Crash Events

0

Persons Killed

16

128.6%was 7

Persons Injured

1

-66.7%was 3

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

Overall, crashes in Yarmouth showed an upward trend, increasing by 13.3% from 30 crashes in April 2023 to 34 crashes in April 2024. This rise was accompanied by a significant increase in injuries, indicating a worsening outcome for those involved in crashes.

1

Hit-and-Run Crashes — April 2024

-66.7% vs prior (3)

Hit-and-run crashes decreased from 3 in April 2023 to 1 in April 2024. This reduction resulted in the hit-and-run crash rate falling from 10% to 2.9% year-over-year. The trend for hit-and-run incidents shows a decline for the current period.

Vulnerable Road User Casualties

0

Motorists Killed

Prior: 00.0%

16

Motorists Injured

Prior: 7128.6%

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 Friday with 5 crashes in April 2023 to Saturday with 9 crashes in April 2024. The peak hour for crashes also shifted from 4 PM in April 2023 to 3 PM in April 2024, though both hours recorded 6 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

There were no fatalities reported in either April 2023 or April 2024. Total injuries, however, increased substantially from 7 to 16, a 128.6% rise year-over-year. Crashes resulting in any injury (serious, minor, or possible) increased from 16.7% of all crashes in April 2023 to 32.3% in April 2024, with serious injuries (1 crash) appearing only in the current period.

Outcome by Severity (Crash Events)

Serious Injury1serious injury crashes2.9%
Minor Injury9minor injury crashes26.5%
125.0%prior 4
Possible Injury1possible injury crashes2.9%
0.0%prior 1
No Injury22no injury crashes64.7%
-8.3%prior 24

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

Crashes attributed to 'Failed to yield right of way' increased from 3 in April 2023 to 9 in April 2024, a 200% rise in count, making it the top factor. 'Inattention' crashes decreased by 30% in count, from 10 to 7. 'No improper driving' crashes also saw a 62.5% reduction in count, decreasing from 8 to 3.

Officer-Reported Primary Contributing Cause

Failed to yield right of way9 (26.5%)
Inattention7 (20.6%)-30.0%prior 10
Followed too closely4 (11.8%)
No improper driving3 (8.8%)-62.5%prior 8
Disregarded traffic signs, signals, road markings2 (5.9%)
Failure to keep in proper lane or running off road2 (5.9%)
Other improper action2 (5.9%)
Operating vehicle in erratic, reckless, careless, negligent or aggressive manner1 (2.9%)
Swerving or avoiding due to wind, slippery surface, vehicle, object, vulnerable user in roadway1 (2.9%)
Visibility obstructed1 (2.9%)

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 22 to 25, while crashes in 'Daylight' conditions rose from 21 to 28. Conversely, crashes on 'Wet' road surfaces decreased from 5 to 3. The data indicates a shift towards more crashes occurring under optimal weather and lighting conditions.

Weather

Clear25 (75.8%)
13.6%prior 22
Cloudy6 (18.2%)
Cloudy/Rain1 (3.0%)
Rain1 (3.0%)

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

Lighting

Daylight28 (82.4%)
33.3%prior 21
Dark - lighted roadway3 (8.8%)
-40.0%prior 5
Dark - roadway not lighted1 (2.9%)
Dark - unknown roadway lighting1 (2.9%)
Other1 (2.9%)

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

Road Surface

Dry31 (91.2%)
29.2%prior 24
Wet3 (8.8%)
-40.0%prior 5

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

Vehicles & Demographics

Toyota remained the most common vehicle make involved in crashes, increasing from 10 in April 2023 to 12 in April 2024. There was a significant increase in persons aged 0-15 involved in crashes, from 1 to 7, and in the 35-44 age group, from 7 to 16. Meanwhile, the 16-20 age group saw a decrease from 10 to 4 persons involved.

Top Vehicle Makes (67 vehicles)

1
TOYOTA12 (17.9%)
20.0%prior 10
2
CHEVROLET8 (11.9%)
3
HONDA8 (11.9%)
4
GMC6 (9%)
5
FORD6 (9%)
20.0%prior 5
6
HYUNDAI4 (6%)
7
BMW4 (6%)
8
JEEP3 (4.5%)
9
KIA3 (4.5%)
10
NISSAN2 (3%)

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

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

Sex Distribution (82 persons with recorded sex)

Female41 (50.0%)
46.4%prior 28
Male41 (50.0%)
17.1%prior 35

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 35 MPH speed zones saw a substantial increase from 3 in April 2023 to 10 in April 2024, a 233% rise. Crashes in 40 MPH zones also increased from 8 to 10. Conversely, crashes in 25 MPH zones decreased from 6 to 1. No fatal crashes were recorded in any speed zone during either period.

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: YARMOUTH, MA
  • Total crash records analyzed: 34
  • Total persons involved: 88
  • Total vehicles involved: 67

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). "YARMOUTH, 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/yarmouth/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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Yarmouth, MA Crash Report — April 2024 | ThatCarHitMe.com