Monthly Traffic Safety Analysis

50 CRASHES IN
YARMOUTH, MA
NOVEMBER 2024

All metrics benchmarked againstNovember 2023

In Yarmouth, total crashes increased by 42.86%, from 35 in November 2023 to 50 in November 2024. The most notable year-over-year shift was a significant 525% increase in total injuries, rising from 4 to 25.

50

42.9%was 35

Total Crash Events

0

Persons Killed

25

525.0%was 4

Persons Injured

2

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 · 2024-11-01 to 2024-11-30 · Aggregate counts from crash, person, and vehicle records

Trend Summary

Overall, crashes in Yarmouth are trending upwards year-over-year, with a 42.86% increase in total crashes, from 35 to 50. This rise was accompanied by a substantial 525% increase in total injuries, from 4 to 25.

2

Hit-and-Run Crashes — November 2024

0.0% vs prior (2)

The number of hit-and-run crashes remained constant at 2 in both November 2023 and November 2024. However, the hit-and-run rate decreased from 5.7% of total crashes in the prior period to 4% in the current period, reflecting the overall increase in total crashes.

Vulnerable Road User Casualties

0

Cyclists Killed

Prior: 00.0%

0

Motorists Killed

Prior: 00.0%

1

Cyclists Injured

Prior: 0%

24

Motorists Injured

Prior: 4500.0%

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2024-11-01 to 2024-11-30 · Mode classified from person records (driver/passenger → motorist; pedestrian; bicyclist → cyclist; in-line skater / unspecified → other)

When Crashes Happen

The temporal patterns for crashes shifted notably between the two periods. The peak day for crashes moved from Thursday in November 2023 (9 crashes) to Saturday in November 2024 (14 crashes). Similarly, the peak hour for crashes changed from 5 PM (8 crashes) in 2023 to 8 AM (6 crashes) in 2024.

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2024-11-01 to 2024-11-30 · Crash date field aggregated by weekday

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2024-11-01 to 2024-11-30 · Crash time field aggregated by hour (0-23)

Crash Severity Breakdown

There were no fatal crashes in either November 2023 or November 2024. However, total injuries saw a significant increase of 525%, rising from 4 in 2023 to 25 in 2024. The proportion of crashes resulting in minor injuries increased from 8.6% in 2023 to 24% in 2024, and possible injuries, not recorded in 2023, accounted for 8% of crashes in 2024.

Outcome by Severity (Crash Events)

Minor Injury12minor injury crashes24%
300.0%prior 3
Possible Injury4possible injury crashes8%
No Injury33no injury crashes66%
3.1%prior 32

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2024-11-01 to 2024-11-30 · KABCO injury classification scale

Severity Distribution (Crash Events)

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2024-11-01 to 2024-11-30 · Most severe injury per crash record

Top Contributing Factors

Among contributing factors, 'Inattention' crashes increased from 4 in 2023 to 11 in 2024, a 175% rise, making it the leading factor in the current period. Conversely, 'No improper driving' crashes decreased by 30.8%, from 13 in 2023 to 9 in 2024. 'Failed to yield right of way' crashes also saw a substantial increase, rising from 3 to 8, a 166.7% change.

Officer-Reported Primary Contributing Cause

Inattention11 (22%)
No improper driving9 (18%)-30.8%prior 13
Failed to yield right of way8 (16%)
Operating vehicle in erratic, reckless, careless, negligent or aggressive manner6 (12%)
Disregarded traffic signs, signals, road markings4 (8%)
Other improper action2 (4%)
Visibility obstructed2 (4%)
Followed too closely2 (4%)
Over-correcting/over-steering1 (2%)
Physical impairment1 (2%)

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2024-11-01 to 2024-11-30 · Officer-reported primary contributory cause per crash

Road & Environmental Conditions

Crashes occurring in 'Clear' weather conditions increased from 25 in November 2023 to 37 in November 2024. 'Daylight' crashes also rose from 21 to 33 year-over-year. The number of crashes under 'Dark - lighted roadway' conditions tripled from 3 in 2023 to 9 in 2024.

Weather

Clear37 (74.0%)
48.0%prior 25
Rain5 (10.0%)
Cloudy4 (8.0%)
Clear/Clear3 (6.0%)
Rain/Cloudy1 (2.0%)

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2024-11-01 to 2024-11-30 · Weather condition at time of crash

Lighting

Daylight33 (66.0%)
57.1%prior 21
Dark - lighted roadway9 (18.0%)
Dark - roadway not lighted5 (10.0%)
-44.4%prior 9
Dark - unknown roadway lighting1 (2.0%)
Dusk1 (2.0%)
Other1 (2.0%)

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2024-11-01 to 2024-11-30 · Lighting condition field

Road Surface

Dry43 (86.0%)
59.3%prior 27
Wet5 (10.0%)
-28.6%prior 7
Other1 (2.0%)
Snow1 (2.0%)

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2024-11-01 to 2024-11-30 · Road surface condition field

Vehicles & Demographics

The total number of vehicles involved in crashes increased from 63 in November 2023 to 95 in November 2024. Toyota remained the most frequently involved make, with its count rising from 14 to 20. The age group 65+ saw an increase in persons involved in crashes from 15 to 23, and the 21-25 age group increased from 3 to 12 persons involved.

Top Vehicle Makes (95 vehicles)

1
TOYOTA20 (21.1%)
42.9%prior 14
2
FORD14 (14.7%)
55.6%prior 9
3
HONDA9 (9.5%)
12.5%prior 8
4
CHEVROLET7 (7.4%)
5
JEEP5 (5.3%)
6
GMC4 (4.2%)
7
VOLKSWAGEN3 (3.2%)
8
HYUNDAI3 (3.2%)
9
KIA3 (3.2%)
10
NISSAN3 (3.2%)

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2024-11-01 to 2024-11-30 · Vehicle unit records

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

Sex Distribution (99 persons with recorded sex)

Male63 (63.6%)
96.9%prior 32
Female36 (36.4%)
28.6%prior 28

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2024-11-01 to 2024-11-30 · Person-level records linked to crash events

Speed Limit Zones

Crashes in 30 mph zones increased from 7 in November 2023 to 12 in November 2024. Similarly, crashes in 35 mph zones rose from 6 to 10 year-over-year. Crashes in 40 mph zones remained constant at 11 in both periods, and there were no fatal crashes reported in any speed zone during either month.

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2024-11-01 to 2024-11-30 · 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: 2024-11-01 through 2024-11-30
  • Report generated: June 21, 2026

Data Coverage

  • Reporting period: 2024-11-01 through 2024-11-30 (30 days)
  • Geographic scope: YARMOUTH, MA
  • Total crash records analyzed: 50
  • Total persons involved: 111
  • Total vehicles involved: 95

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: November 2024." Published June 21, 2026. Reporting period: 2024-11-01 to 2024-11-30. Data source: Massachusetts Crash Data (MassDOT CDV), Arcgis_yearly Open Data. Available at: https://thatcarhitme.com/crash-data/massachusetts/yarmouth/november-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 — November 2024 | ThatCarHitMe.com