Monthly Traffic Safety Analysis

18 CRASHES IN
BOLTON, MA
OCTOBER 2025

All metrics benchmarked againstOctober 2024

In October 2025, Bolton experienced 18 crashes, a 35.7% decrease compared to the 28 crashes reported in October 2024. The most significant year-over-year shift was the presence of one fatal crash in the current period, compared to zero in the prior year.

18

-35.7%was 28

Total Crash Events

1

Persons Killed

3

-70.0%was 10

Persons Injured

1

-50.0%was 2

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.

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, Bolton saw a notable decrease in total crashes, falling from 28 to 18, representing a 35.7% reduction year-over-year. Despite this decrease in total incidents, fatalities increased from zero in October 2024 to one in October 2025, while total injuries declined from 10 to 3.

1

Hit-and-Run Crashes — October 2025

-50.0% vs prior (2)

Hit-and-run crashes decreased from 2 incidents in October 2024 to 1 incident in October 2025. This change resulted in a decrease in the hit-and-run rate from 7.1% to 5.6% of total crashes year-over-year.

Vulnerable Road User Casualties

1

Motorists Killed

Prior: 0%

3

Motorists Injured

Prior: 9-66.7%

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 shifted from Thursday in October 2024, with 6 incidents, to Saturday in October 2025, with 5 incidents. The peak hour for crashes also shifted, with 4 crashes occurring at 3 PM in the current period, compared to 4 crashes at 5 PM in the prior period.

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

The fatal crash rate increased from 0% in October 2024 to 5.6% in October 2025, with one fatal crash recorded in the current period. Total injuries decreased significantly from 10 in the prior period to 3 in the current period, and the proportion of crashes resulting in no injury increased slightly from 75% to 77.8%.

Outcome by Severity (Crash Events)

Fatal1fatal crashes5.6%
Minor Injury2minor injury crashes11.1%
-33.3%prior 3
Possible Injury1possible injury crashes5.6%
-66.7%prior 3
No Injury14no injury crashes77.8%
-33.3%prior 21

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,' decreased from 9 crashes in October 2024 to 6 crashes in October 2025, a 33.3% reduction in count. 'Inattention' also saw a significant decrease, falling from 6 crashes to 2 crashes, a 66.7% reduction in count. Conversely, factors like 'Operating vehicle in erratic, reckless, careless, negligent or aggressive manner' and 'Driving too fast for conditions' each appeared once in the current period, after having zero occurrences in the prior period.

Officer-Reported Primary Contributing Cause

No improper driving6 (33.3%)-33.3%prior 9
Inattention2 (11.1%)-66.7%prior 6
Failed to yield right of way2 (11.1%)
Failure to keep in proper lane or running off road1 (5.6%)
Operating vehicle in erratic, reckless, careless, negligent or aggressive manner1 (5.6%)
Over-correcting/over-steering1 (5.6%)
Swerving or avoiding due to wind, slippery surface, vehicle, object, vulnerable user in roadway1 (5.6%)
Disregarded traffic signs, signals, road markings1 (5.6%)
Distracted1 (5.6%)
Driving too fast for conditions1 (5.6%)

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

Clear weather conditions were associated with 14 crashes in October 2025, a decrease from 25 crashes in October 2024, although clear conditions remained the most frequent. Crashes on wet road surfaces remained consistent at 3 incidents in both periods. Daylight crashes saw a slight decrease from 15 to 14, while crashes in dark conditions remained at 4 in both periods.

Weather

Clear12 (66.7%)
-50.0%prior 24
Clear/Clear2 (11.1%)
Rain2 (11.1%)
Clear/Other1 (5.6%)
Cloudy/Rain1 (5.6%)

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

Lighting

Daylight14 (77.8%)
-6.7%prior 15
Dark - roadway not lighted3 (16.7%)
Dark - unknown roadway lighting1 (5.6%)

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

Road Surface

Dry15 (83.3%)
-40.0%prior 25
Wet3 (16.7%)

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 (30 vehicles)

1
FORD4 (13.3%)
2
TOYOTA4 (13.3%)
-50.0%prior 8
3
HYUNDAI3 (10%)
4
CHEVROLET2 (6.7%)
5
HONDA2 (6.7%)
-66.7%prior 6
6
LEXUS2 (6.7%)
7
MAZDA2 (6.7%)
8
NISSAN2 (6.7%)
9
SUBARU2 (6.7%)
10
MITS1 (3.3%)

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

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

Sex Distribution (30 persons with recorded sex)

Female19 (63.3%)
-9.5%prior 21
Male11 (36.7%)
-73.2%prior 41

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 40 mph speed zone decreased from 11 incidents in October 2024 to 6 incidents in October 2025. A fatal crash occurred in the 35 mph speed zone in October 2025, which had zero fatalities in the prior period, despite both periods having one crash reported in that zone.

Fatal crashes by zone: 35 mph: 1 of 1 (100%)

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: BOLTON, MA
  • Total crash records analyzed: 18
  • Total persons involved: 34
  • Total vehicles involved: 30

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). "BOLTON, 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/bolton/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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Bolton, MA Crash Report — October 2025 | ThatCarHitMe.com