Monthly Traffic Safety Analysis

92 CRASHES IN
BARNSTABLE, MA
SEPTEMBER 2025

All metrics benchmarked againstSeptember 2024

Total crashes in Barnstable, MA decreased by 5.15% year-over-year, from 97 crashes in September 2024 to 92 crashes in September 2025. Fatalities remained at zero in both periods. A notable shift was the increase in serious injury crashes, which rose from 3 to 5.

92

-5.2%was 97

Total Crash Events

0

Persons Killed

32

-11.1%was 36

Persons Injured

5

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.

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2025-09-01 to 2025-09-30 · Aggregate counts from crash, person, and vehicle records

Trend Summary

Overall, crash data for Barnstable shows a slight downward trend in total crashes, decreasing from 97 to 92, a 5.15% reduction. Total injuries also decreased, falling from 36 to 32, an 11.11% reduction. Fatalities remained stable at zero in both periods.

5

Hit-and-Run Crashes — September 2025

66.7% vs prior (3)

Hit-and-run crashes increased from 3 in the prior period to 5 in the current period. This change resulted in an increase in the hit-and-run rate from 3.1% to 5.4% of all crashes.

Vulnerable Road User Casualties

0

Cyclists Killed

Prior: 00.0%

0

Motorists Killed

Prior: 00.0%

0

Other Killed

Prior: 00.0%

4

Cyclists Injured

Prior: 2100.0%

27

Motorists Injured

Prior: 32-15.6%

1

Other Injured

Prior: 10.0%

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2025-09-01 to 2025-09-30 · 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 (18 crashes) in the prior period to Tuesday (25 crashes) in the current period. Similarly, the peak crash hour moved from 5 PM (10 crashes) in the prior period to 3 PM (12 crashes) in the current period, indicating a change in the timing of peak crash activity.

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2025-09-01 to 2025-09-30 · Crash date field aggregated by weekday

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2025-09-01 to 2025-09-30 · Crash time field aggregated by hour (0-23)

Crash Severity Breakdown

Fatal crashes remained at zero in both September 2024 and September 2025. Serious injury crashes (severity 'A') increased from 3 (3.1% of total crashes) in the prior period to 5 (5.4% of total crashes) in the current period. Conversely, minor injury crashes (severity 'B') decreased from 19 (19.6% of total crashes) to 15 (16.3% of total crashes).

Outcome by Severity (Crash Events)

Serious Injury5serious injury crashes5.4%
66.7%prior 3
Minor Injury15minor injury crashes16.3%
-21.1%prior 19
Possible Injury4possible injury crashes4.3%
0.0%prior 4
No Injury68no injury crashes73.9%
-1.4%prior 69

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2025-09-01 to 2025-09-30 · KABCO injury classification scale

Severity Distribution (Crash Events)

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2025-09-01 to 2025-09-30 · Most severe injury per crash record

Top Contributing Factors

The top contributing factor, 'Inattention,' saw a slight increase in count from 23 to 24 crashes year-over-year. Crashes attributed to 'No improper driving' increased by 4, from 18 to 22. 'Failed to yield right of way' crashes also increased, rising from 9 to 10 incidents.

Officer-Reported Primary Contributing Cause

Inattention24 (26.1%)4.3%prior 23
No improper driving22 (23.9%)22.2%prior 18
Failed to yield right of way10 (10.9%)11.1%prior 9
Disregarded traffic signs, signals, road markings4 (4.3%)
Failure to keep in proper lane or running off road3 (3.3%)
Operating vehicle in erratic, reckless, careless, negligent or aggressive manner3 (3.3%)
Visibility obstructed3 (3.3%)
Distracted2 (2.2%)
Emotional1 (1.1%)
Driving too fast for conditions1 (1.1%)

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2025-09-01 to 2025-09-30 · Officer-reported primary contributory cause per crash

Road & Environmental Conditions

Crashes occurring in 'Clear' weather conditions increased from 71 to 81, while those in 'Rain' conditions decreased significantly from 8 to 2. Correspondingly, crashes on 'Wet' road surfaces decreased from 17 to 4. Crashes occurring in 'Dark - lighted roadway' conditions also decreased, from 15 to 10.

Weather

Clear81 (89.0%)
14.1%prior 71
Clear/Clear2 (2.2%)
Rain2 (2.2%)
-75.0%prior 8
Clear/Cloudy2 (2.2%)
Rain/Cloudy1 (1.1%)
Cloudy1 (1.1%)
-80.0%prior 5
Cloudy/Clear1 (1.1%)
Cloudy/Rain1 (1.1%)
-83.3%prior 6

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2025-09-01 to 2025-09-30 · Weather condition at time of crash

Lighting

Daylight73 (79.3%)
1.4%prior 72
Dark - lighted roadway10 (10.9%)
-33.3%prior 15
Dark - roadway not lighted3 (3.3%)
Dusk3 (3.3%)
Dawn2 (2.2%)
Other1 (1.1%)

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2025-09-01 to 2025-09-30 · Lighting condition field

Road Surface

Dry88 (95.7%)
10.0%prior 80
Wet4 (4.3%)
-76.5%prior 17

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2025-09-01 to 2025-09-30 · Road surface condition field

Vehicles & Demographics

The total number of vehicles involved in crashes decreased slightly from 182 to 178. Toyota remained the most frequently involved make with 36 vehicles in both periods, while Honda vehicles increased from 18 to 25 and Ford vehicles decreased from 20 to 15. Among persons involved, the 65+ age group saw an increase from 36 to 47 persons, whereas the 0-15 age group decreased from 10 to 5 persons.

Top Vehicle Makes (178 vehicles)

1
TOYOTA36 (20.2%)
0.0%prior 36
2
HONDA25 (14%)
38.9%prior 18
3
FORD15 (8.4%)
-25.0%prior 20
4
CHEVROLET13 (7.3%)
-13.3%prior 15
5
HYUNDAI10 (5.6%)
0.0%prior 10
6
SUBARU9 (5.1%)
7
GMC7 (3.9%)
0.0%prior 7
8
KIA6 (3.4%)
9
NISSAN5 (2.8%)
-37.5%prior 8
10
VOLKSWAGEN4 (2.2%)

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2025-09-01 to 2025-09-30 · Vehicle unit records

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

Sex Distribution (201 persons with recorded sex)

Male118 (58.7%)
11.3%prior 106
Female83 (41.3%)
-4.6%prior 87

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2025-09-01 to 2025-09-30 · Person-level records linked to crash events

Speed Limit Zones

Crashes occurring in the 30 mph speed zone increased from 25 to 28, while those in the 35 mph zone decreased from 26 to 22. A notable decrease was observed in the 55 mph zone, where crashes fell from 8 to 2. No fatalities were recorded in any speed zone during either period.

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2025-09-01 to 2025-09-30 · 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: 2025-09-01 through 2025-09-30
  • Report generated: June 21, 2026

Data Coverage

  • Reporting period: 2025-09-01 through 2025-09-30 (30 days)
  • Geographic scope: BARNSTABLE, MA
  • Total crash records analyzed: 92
  • Total persons involved: 214
  • Total vehicles involved: 178

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). "BARNSTABLE, MA Crash Intelligence Report: September 2025." Published June 21, 2026. Reporting period: 2025-09-01 to 2025-09-30. Data source: Massachusetts Crash Data (MassDOT CDV), Arcgis_yearly Open Data. Available at: https://thatcarhitme.com/crash-data/massachusetts/barnstable/september-2025-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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Barnstable, MA Crash Report — September 2025 | ThatCarHitMe.com