Monthly Traffic Safety Analysis

45 CRASHES IN
FAIRHAVEN, MA
OCTOBER 2025

All metrics benchmarked againstOctober 2024

Total crashes in FAIRHAVEN, MA increased significantly from 27 in October 2024 to 45 in October 2025, marking a 66.67% rise. The most notable shift was the appearance of 1 fatality in October 2025, compared to zero in the prior year.

45

66.7%was 27

Total Crash Events

1

Persons Killed

8

700.0%was 1

Persons Injured

4

300.0%was 1

Hit-and-Run Crashes

Note: "Persons Killed" (1) counts individual fatalities across all crash events. "Fatal" in the severity table below (1) counts crash events where at least one fatality occurred. A single crash can result in multiple fatalities. 2 crashes with unreported severity are not shown in the severity breakdown.

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2025-10-01 to 2025-10-31 · Aggregate counts from crash, person, and vehicle records

Trend Summary

Overall, crashes in FAIRHAVEN, MA are on a rising trend, with total crashes increasing by 66.67% from 27 in October 2024 to 45 in October 2025. This represents an increase of 18 crashes year-over-year.

4

Hit-and-Run Crashes — October 2025

300.0% vs prior (1)

Hit-and-run crashes increased significantly from 1 in October 2024 to 4 in October 2025. Correspondingly, the hit-and-run rate rose from 3.7% to 8.9% of all crashes, indicating an upward trend.

Vulnerable Road User Casualties

1

Motorists Killed

Prior: 0%

8

Motorists Injured

Prior: 1700.0%

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2025-10-01 to 2025-10-31 · Mode classified from person records (driver/passenger → motorist; pedestrian; bicyclist → cyclist; in-line skater / unspecified → other)

When Crashes Happen

The peak day for crashes remained Thursday in both periods, increasing from 6 crashes in October 2024 to 9 crashes in October 2025. The peak hour shifted from 2 PM with 4 crashes in October 2024 to 4 PM with 6 crashes in October 2025, indicating a shift in peak activity later in the afternoon.

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2025-10-01 to 2025-10-31 · Crash date field aggregated by weekday

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2025-10-01 to 2025-10-31 · Crash time field aggregated by hour (0-23)

Crash Severity Breakdown

Fatal crashes increased from 0 in October 2024 to 1 in October 2025, resulting in a fatal rate of 2.22% for the current period compared to 0% previously. Total injuries also saw a substantial increase, rising from 1 in October 2024 to 8 in October 2025, with serious (1) and minor (5) injuries appearing in the current period.

Outcome by Severity (Crash Events)

Fatal1fatal crashes2.2%
Serious Injury1serious injury crashes2.2%
Minor Injury5minor injury crashes11.1%
Possible Injury2possible injury crashes4.4%
100.0%prior 1
No Injury34no injury crashes75.6%
41.7%prior 24

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2025-10-01 to 2025-10-31 · KABCO injury classification scale

Severity Distribution (Crash Events)

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2025-10-01 to 2025-10-31 · Most severe injury per crash record

Top Contributing Factors

The count of 'Inattention' crashes remained stable at 10 in both periods. 'No improper driving' decreased from 10 crashes in October 2024 to 8 crashes in October 2025, while 'Failed to yield right of way' crashes increased from 1 to 4. Factors like 'Driving too fast for conditions' (2 crashes) and 'Disregarded traffic signs, signals, road markings' (2 crashes) appeared in October 2025, not present in October 2024.

Officer-Reported Primary Contributing Cause

Inattention10 (22.2%)0.0%prior 10
No improper driving8 (17.8%)-20.0%prior 10
Failed to yield right of way4 (8.9%)
Disregarded traffic signs, signals, road markings2 (4.4%)
Driving too fast for conditions2 (4.4%)
Visibility obstructed2 (4.4%)
Followed too closely1 (2.2%)
Illness1 (2.2%)
Failure to keep in proper lane or running off road1 (2.2%)
Made an improper turn1 (2.2%)

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2025-10-01 to 2025-10-31 · Officer-reported primary contributory cause per crash

Road & Environmental Conditions

Crashes occurring in 'Clear' weather conditions increased from 24 in October 2024 to 31 in October 2025. Similarly, crashes on 'Dry' road surfaces rose from 22 to 35, and those in 'Daylight' conditions increased from 24 to 32. Crashes in 'Dark - lighted roadway' conditions doubled from 2 to 4.

Weather

Clear31 (70.5%)
29.2%prior 24
Rain3 (6.8%)
Cloudy/Rain2 (4.5%)
Clear/Clear2 (4.5%)
Cloudy/Cloudy2 (4.5%)
Snow/Cloudy1 (2.3%)
Cloudy/Clear1 (2.3%)
Rain/Cloudy1 (2.3%)
Rain/Rain1 (2.3%)

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2025-10-01 to 2025-10-31 · Weather condition at time of crash

Lighting

Daylight32 (71.1%)
33.3%prior 24
Dark - roadway not lighted6 (13.3%)
Dark - lighted roadway4 (8.9%)
Dusk2 (4.4%)
Dark - unknown roadway lighting1 (2.2%)

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2025-10-01 to 2025-10-31 · Lighting condition field

Road Surface

Dry35 (77.8%)
59.1%prior 22
Wet10 (22.2%)
100.0%prior 5

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2025-10-01 to 2025-10-31 · Road surface condition field

Vehicles & Demographics

The top vehicle makes saw some shifts; Ford remained prominent, increasing from 10 to 11, while Honda emerged as a top make with 11 crashes in October 2025, up from 2 in October 2024. Toyota also increased its count from 5 to 10. The 35-44 age group experienced the largest increase in persons involved, rising from 8 in October 2024 to 18 in October 2025.

Top Vehicle Makes (81 vehicles)

1
HONDA11 (13.6%)
2
FORD11 (13.6%)
10.0%prior 10
3
TOYOTA10 (12.3%)
100.0%prior 5
4
JEEP6 (7.4%)
5
CHEVROLET5 (6.2%)
6
RAM4 (4.9%)
7
MAZDA4 (4.9%)
8
CHRYSLER3 (3.7%)
9
HYUNDAI3 (3.7%)
10
NISSAN3 (3.7%)

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2025-10-01 to 2025-10-31 · Vehicle unit records

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

Sex Distribution (77 persons with recorded sex)

Male46 (59.7%)
53.3%prior 30
Female31 (40.3%)
10.7%prior 28

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2025-10-01 to 2025-10-31 · Person-level records linked to crash events

Speed Limit Zones

Crashes in the 25 mph speed zone increased from 8 in October 2024 to 14 in October 2025, and those in the 35 mph zone increased from 6 to 8. Notably, a fatal crash occurred in the 35 mph speed zone in October 2025, where no fatal crashes were recorded in any speed zone in October 2024.

Fatal crashes by zone: 35 mph: 1 of 8 (12.5%)

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2025-10-01 to 2025-10-31 · 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: 2025-10-01 through 2025-10-31
  • Report generated: June 21, 2026

Data Coverage

  • Reporting period: 2025-10-01 through 2025-10-31 (31 days)
  • Geographic scope: FAIRHAVEN, MA
  • Total crash records analyzed: 45
  • Total persons involved: 94
  • Total vehicles involved: 81

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). "FAIRHAVEN, MA Crash Intelligence Report: October 2025." Published June 21, 2026. Reporting period: 2025-10-01 to 2025-10-31. Data source: Massachusetts Crash Data (MassDOT CDV), Arcgis_yearly Open Data. Available at: https://thatcarhitme.com/crash-data/massachusetts/fairhaven/october-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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Fairhaven, MA Crash Report — October 2025 | ThatCarHitMe.com