Monthly Traffic Safety Analysis

10 CRASHES IN
BRIMFIELD, MA
OCTOBER 2025

All metrics benchmarked againstOctober 2024

In October 2025, BRIMFIELD recorded 10 total crashes, the same number as in October 2024. Despite the stable crash count, total injuries decreased by 25% from 4 to 3, with a notable shift to 1 serious injury in the current period compared to none in the prior period. This period also saw the emergence of 'Followed too closely' as a contributing factor in 2 crashes.

10

Total Crash Events

0

Persons Killed

3

-25.0%was 4

Persons Injured

0

-100.0%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.

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

The total number of crashes in BRIMFIELD remained stable year-over-year, with 10 crashes reported in both October 2025 and October 2024. While fatalities remained at zero in both periods, total injuries saw a 25% decrease, falling from 4 injuries in October 2024 to 3 injuries in October 2025.

Vulnerable Road User Casualties

0

Motorists Killed

Prior: 00.0%

3

Motorists Injured

Prior: 4-25.0%

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 temporal distribution of crashes shifted year-over-year. In October 2025, the peak day for crashes was Sunday with 3 incidents, shifting from Monday which was the peak day in October 2024, also with 3 incidents. The peak hour for crashes moved from 10a with 2 incidents in October 2024 to 6p with 3 incidents in October 2025.

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 remained at zero in both October 2025 and October 2024. However, the distribution of injuries changed, with October 2025 recording 1 serious injury (10% of crashes) compared to zero serious injuries in October 2024. Minor injuries remained consistent at 2 crashes (20%) in both periods, while crashes with no injuries decreased from 8 (80%) to 7 (70%).

Outcome by Severity (Crash Events)

Serious Injury1serious injury crashes10%
Minor Injury2minor injury crashes20%
0.0%prior 2
No Injury7no injury crashes70%
-12.5%prior 8

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 leading contributing factor, 'No improper driving,' increased from 5 crashes (50% share) in October 2024 to 7 crashes (70% share) in October 2025. The factor 'Failure to keep in proper lane or running off road' decreased significantly, dropping from 3 crashes (30% share) in the prior period to zero in the current period. Additionally, 'Followed too closely' emerged as a factor in October 2025 with 2 crashes (20% share), whereas it was not present in the prior period's data.

Officer-Reported Primary Contributing Cause

No improper driving7 (70%)40.0%prior 5
Followed too closely2 (20%)

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

The proportion of crashes occurring in clear weather conditions increased, with 'Clear' and 'Clear/Clear' accounting for 9 incidents in October 2025, up from 7 in October 2024. Road surface conditions remained consistent, with 9 crashes on dry roads and 1 on wet roads in both periods. However, crashes occurring in daylight decreased from 8 in October 2024 to 5 in October 2025, while crashes in 'Dark - roadway not lighted' increased from 1 to 3, and 'Dark - lighted roadway' increased from 1 to 2.

Weather

Clear6 (60.0%)
Clear/Clear3 (30.0%)
Rain/Cloudy1 (10.0%)

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

Lighting

Daylight5 (50.0%)
-37.5%prior 8
Dark - roadway not lighted3 (30.0%)
Dark - lighted roadway2 (20.0%)

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

Road Surface

Dry9 (90.0%)
0.0%prior 9
Wet1 (10.0%)

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

Vehicles & Demographics

Top Vehicle Makes (17 vehicles)

1
NISSAN3 (17.6%)
2
FORD2 (11.8%)
3
DODGE2 (11.8%)
4
HONDA2 (11.8%)
5
JEEP2 (11.8%)
6
CHEVROLET1 (5.9%)
7
VOLKSWAGEN1 (5.9%)
8
GMC1 (5.9%)
9
MAZDA1 (5.9%)
10
TOYOTA1 (5.9%)

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

Sex Distribution (20 persons with recorded sex)

Female11 (55.0%)
37.5%prior 8
Male9 (45.0%)
12.5%prior 8

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

The distribution of crashes across speed zones shifted year-over-year, with a notable increase in crashes occurring in the 35 mph zone, rising from 1 crash in October 2024 to 4 crashes in October 2025. Crashes in the 65 mph zone also increased from 2 to 3 incidents. Conversely, speed zones of 30 mph, 45 mph, and 55 mph, which each had 1 crash in October 2024, did not record any crashes in October 2025.

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: BRIMFIELD, MA
  • Total crash records analyzed: 10
  • Total persons involved: 20
  • Total vehicles involved: 17

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). "BRIMFIELD, 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/brimfield/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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Brimfield, MA Crash Report — October 2025 | ThatCarHitMe.com