Monthly Traffic Safety Analysis

16 CRASHES IN
BOLTON, MA
APRIL 2025

All metrics benchmarked againstApril 2024

Total crashes in Bolton remained stable at 16 in April 2025, matching the 16 crashes reported in April 2024. However, total injuries decreased significantly by 42.86%, from 7 injuries in the prior period to 4 injuries in the current period. Notably, speeding-related crashes doubled from 1 to 2, while DUI crashes were eliminated, decreasing from 1 to 0.

16

Total Crash Events

0

Persons Killed

4

-42.9%was 7

Persons Injured

0

Fatal Crash Events

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 · 2025-04-01 to 2025-04-30 · Aggregate counts from crash, person, and vehicle records

Trend Summary

The overall number of crashes in Bolton remained stable year-over-year, with 16 crashes reported in both April 2025 and April 2024. Despite the stable crash count, there was a positive trend in injury reduction, with total injuries decreasing by 42.86% from 7 to 4. Fatalities remained at 0 in both periods.

Vulnerable Road User Casualties

0

Motorists Killed

Prior: 00.0%

4

Motorists Injured

Prior: 7-42.9%

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2025-04-01 to 2025-04-30 · 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, with the peak day moving from Saturday in April 2024 (5 crashes) to Monday in April 2025 (5 crashes). The peak hour also changed, with April 2025 seeing the most crashes at 7 AM (4 crashes), whereas April 2024's peak was at 2 PM (3 crashes). Crashes on Sundays increased from 0 to 3, and on Wednesdays from 0 to 3, while Tuesdays and Thursdays saw decreases from 4 crashes each to 1 crash each.

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2025-04-01 to 2025-04-30 · Crash date field aggregated by weekday

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2025-04-01 to 2025-04-30 · Crash time field aggregated by hour (0-23)

Crash Severity Breakdown

There were no fatal crashes in either April 2025 or April 2024. Total injuries decreased from 7 in April 2024 to 4 in April 2025, representing a 42.86% reduction. The severity distribution shifted to include 2 serious injury crashes (12.5% share) in April 2025, which were not present in the prior period, while minor injury crashes decreased from 4 (25% share) to 2 (12.5% share).

Outcome by Severity (Crash Events)

Serious Injury2serious injury crashes12.5%
Minor Injury2minor injury crashes12.5%
-50.0%prior 4
No Injury12no injury crashes75%
0.0%prior 12

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2025-04-01 to 2025-04-30 · KABCO injury classification scale

Severity Distribution (Crash Events)

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2025-04-01 to 2025-04-30 · Most severe injury per crash record

Top Contributing Factors

The leading contributing factor, 'No improper driving,' decreased by 1 crash, from 4 in April 2024 (25% share) to 3 in April 2025 (18.8% share). 'Failed to yield right of way' crashes increased from 1 in April 2024 (6.3% share) to 3 in April 2025 (18.8% share), making it a top factor. 'Followed too closely' crashes decreased from 3 (18.8% share) to 2 (12.5% share) year-over-year.

Officer-Reported Primary Contributing Cause

No improper driving3 (18.8%)
Failed to yield right of way3 (18.8%)
Followed too closely2 (12.5%)
Other improper action2 (12.5%)
Made an improper turn1 (6.3%)
Driving too fast for conditions1 (6.3%)
Exceeded authorized speed limit1 (6.3%)
Fatigued/asleep1 (6.3%)
Inattention1 (6.3%)

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2025-04-01 to 2025-04-30 · Officer-reported primary contributory cause per crash

Road & Environmental Conditions

Crashes occurring in 'Clear' weather conditions slightly increased from 9 in April 2024 to 10 in April 2025, while 'Rain' conditions also saw a slight increase from 2 to 3 crashes. There was a notable shift in adverse conditions, with 2 crashes occurring in 'Snow' conditions in April 2025, compared to 0 in April 2024. Crashes in 'Dark - roadway not lighted' conditions increased from 1 to 3, indicating more nighttime incidents in the current period.

Weather

Clear10 (62.5%)
11.1%prior 9
Rain3 (18.8%)
Cloudy1 (6.3%)
Snow/Blowing sand, snow1 (6.3%)
Snow/Snow1 (6.3%)

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2025-04-01 to 2025-04-30 · Weather condition at time of crash

Lighting

Daylight12 (75.0%)
-7.7%prior 13
Dark - roadway not lighted3 (18.8%)
Dark - lighted roadway1 (6.3%)

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2025-04-01 to 2025-04-30 · Lighting condition field

Road Surface

Dry10 (62.5%)
-9.1%prior 11
Wet5 (31.3%)
Ice1 (6.3%)

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2025-04-01 to 2025-04-30 · Road surface condition field

Vehicles & Demographics

Top Vehicle Makes (30 vehicles)

1
TOYOTA7 (23.3%)
2
HONDA4 (13.3%)
3
BUIC2 (6.7%)
4
SUBARU2 (6.7%)
5
NISSAN2 (6.7%)
6
CHEVROLET2 (6.7%)
7
AUDI2 (6.7%)
8
FORD2 (6.7%)
9
VOLVO1 (3.3%)
10
ISU1 (3.3%)

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2025-04-01 to 2025-04-30 · Vehicle unit records

Sex Distribution (32 persons with recorded sex)

Male23 (71.9%)
0.0%prior 23
Female9 (28.1%)
-25.0%prior 12

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2025-04-01 to 2025-04-30 · Person-level records linked to crash events

Speed Limit Zones

There were no fatal crashes reported in any speed zone for either period. Crashes in the 65 mph speed zone decreased from 5 in April 2024 to 2 in April 2025. Conversely, crashes in the 45 mph speed zone increased from 3 to 5, and the 25 mph speed zone saw 3 crashes in April 2025 compared to none in April 2024, indicating a shift towards crashes occurring in lower and mid-range speed limits.

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2025-04-01 to 2025-04-30 · 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: 2025-04-01 through 2025-04-30
  • Report generated: June 21, 2026

Data Coverage

  • Reporting period: 2025-04-01 through 2025-04-30 (30 days)
  • Geographic scope: BOLTON, MA
  • Total crash records analyzed: 16
  • Total persons involved: 33
  • 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: April 2025." Published June 21, 2026. Reporting period: 2025-04-01 to 2025-04-30. Data source: Massachusetts Crash Data (MassDOT CDV), Arcgis_yearly Open Data. Available at: https://thatcarhitme.com/crash-data/massachusetts/bolton/april-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 — April 2025 | ThatCarHitMe.com