Monthly Traffic Safety Analysis

14 CRASHES IN
BOLTON, MA
FEBRUARY 2022

All metrics benchmarked againstFebruary 2021

BOLTON experienced a 12.5% decrease in total crashes, from 16 in February 2021 to 14 in February 2022. Total injuries remained constant at 7 in both periods, however, the current period saw the emergence of one serious injury crash, which was not present in the prior year. The most notable shift was the significant decrease in crashes attributed to 'No improper driving' and the rise of 'Inattention' as a leading contributing factor.

14

-12.5%was 16

Total Crash Events

0

Persons Killed

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 · 2022-02-01 to 2022-02-28 · Aggregate counts from crash, person, and vehicle records

Trend Summary

Overall, crashes in BOLTON saw a slight decline year-over-year, decreasing by 12.5% from 16 crashes in February 2021 to 14 crashes in February 2022. Despite this reduction in total incidents, the number of total injuries remained stable at 7 in both periods.

Vulnerable Road User Casualties

0

Motorists Killed

Prior: 00.0%

7

Motorists Injured

Prior: 70.0%

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2022-02-01 to 2022-02-28 · 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 Tuesday in both periods, though the count decreased from 6 crashes in February 2021 to 3 crashes in February 2022. The peak crash hour shifted from 8 PM with 3 crashes in the prior period to 10 PM with 2 crashes in the current period, with multiple hours in the current period also recording 2 crashes.

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2022-02-01 to 2022-02-28 · Crash date field aggregated by weekday

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2022-02-01 to 2022-02-28 · Crash time field aggregated by hour (0-23)

Crash Severity Breakdown

There were no fatalities reported in either February 2021 or February 2022. While total injuries remained constant at 7 in both periods, the current period recorded 1 serious injury crash (7.1% of total crashes), which was not present in the prior period. Minor injury crashes decreased from 4 (25% share) in the prior period to 3 (21.4% share) in the current period.

Outcome by Severity (Crash Events)

Serious Injury1serious injury crashes7.1%
Minor Injury3minor injury crashes21.4%
-25.0%prior 4
Possible Injury1possible injury crashes7.1%
0.0%prior 1
No Injury9no injury crashes64.3%
-18.2%prior 11

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2022-02-01 to 2022-02-28 · KABCO injury classification scale

Severity Distribution (Crash Events)

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2022-02-01 to 2022-02-28 · Most severe injury per crash record

Top Contributing Factors

The leading contributing factor, 'No improper driving,' decreased significantly by 57.1% in count, from 7 crashes in February 2021 to 3 crashes in February 2022. 'Inattention' emerged as a prominent factor in the current period with 5 crashes, while it was not listed among the top factors in the prior period. Crashes attributed to 'Driving too fast for conditions' decreased by 50% in count, from 2 to 1.

Officer-Reported Primary Contributing Cause

Inattention5 (35.7%)
Failed to yield right of way3 (21.4%)
No improper driving3 (21.4%)-57.1%prior 7
Followed too closely2 (14.3%)
Driving too fast for conditions1 (7.1%)

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2022-02-01 to 2022-02-28 · Officer-reported primary contributory cause per crash

Road & Environmental Conditions

Crashes occurring in clear weather conditions increased from 8 in February 2021 to 11 in February 2022, while snow-related crashes decreased from 6 to 1. On road surfaces, dry condition crashes slightly increased from 7 to 8, and wet road crashes increased from 1 to 4. Crashes occurring in 'Dark - lighted roadway' conditions doubled from 2 to 4.

Weather

Clear11 (84.6%)
37.5%prior 8
Cloudy1 (7.7%)
Snow/Sleet, hail (freezing rain or drizzle)1 (7.7%)

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2022-02-01 to 2022-02-28 · Weather condition at time of crash

Lighting

Daylight9 (64.3%)
0.0%prior 9
Dark - lighted roadway4 (28.6%)
Dark - roadway not lighted1 (7.1%)

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2022-02-01 to 2022-02-28 · Lighting condition field

Road Surface

Dry8 (57.1%)
14.3%prior 7
Wet4 (28.6%)
Ice1 (7.1%)
Snow1 (7.1%)
-83.3%prior 6

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2022-02-01 to 2022-02-28 · Road surface condition field

Vehicles & Demographics

Top Vehicle Makes (26 vehicles)

1
TOYOTA7 (26.9%)
2
SUBARU3 (11.5%)
3
FORD2 (7.7%)
-60.0%prior 5
4
HONDA2 (7.7%)
-60.0%prior 5
5
MACK2 (7.7%)
6
CHEVROLET2 (7.7%)
7
NISSAN2 (7.7%)
8
FRHT1 (3.8%)
9
RAM1 (3.8%)
10
STRN1 (3.8%)

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2022-02-01 to 2022-02-28 · Vehicle unit records

Sex Distribution (31 persons with recorded sex)

Male19 (61.3%)
-5.0%prior 20
Female12 (38.7%)
0.0%prior 12

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2022-02-01 to 2022-02-28 · Person-level records linked to crash events

Speed Limit Zones

No fatal crashes were recorded in any speed zone during either period. Crashes occurring in 30 MPH zones increased from 3 in February 2021 to 5 in February 2022. Conversely, crashes in 40 MPH zones decreased from 4 to 2, and those in 65 MPH zones decreased from 3 to 2. The current period also introduced 1 crash in a 20 MPH zone, which was not present in the prior period.

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2022-02-01 to 2022-02-28 · 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: 2022-02-01 through 2022-02-28
  • Report generated: June 21, 2026

Data Coverage

  • Reporting period: 2022-02-01 through 2022-02-28 (28 days)
  • Geographic scope: BOLTON, MA
  • Total crash records analyzed: 14
  • Total persons involved: 32
  • Total vehicles involved: 26

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: February 2022." Published June 21, 2026. Reporting period: 2022-02-01 to 2022-02-28. Data source: Massachusetts Crash Data (MassDOT CDV), Arcgis_yearly Open Data. Available at: https://thatcarhitme.com/crash-data/massachusetts/bolton/february-2022-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 — February 2022 | ThatCarHitMe.com