Monthly Traffic Safety Analysis

21 CRASHES IN
BOLTON, MA
JULY 2023

All metrics benchmarked againstJuly 2022

In July 2023, BOLTON, MA experienced 21 crashes, an increase from the 18 crashes reported in July 2022, representing a 16.67% rise. A significant shift was observed in injury severity, with total injuries decreasing by 85.71% from 14 in July 2022 to 2 in July 2023.

21

16.7%was 18

Total Crash Events

0

Persons Killed

2

-85.7%was 14

Persons Injured

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 · 2023-07-01 to 2023-07-31 · Aggregate counts from crash, person, and vehicle records

Trend Summary

Overall, crashes in BOLTON, MA increased by 16.67%, from 18 in July 2022 to 21 in July 2023. While total crashes rose, total injuries saw a substantial decrease of 85.71%, falling from 14 to 2 over the same period. Fatalities remained at 0 in both months.

1

Hit-and-Run Crashes — July 2023

0.0% vs prior (1)

The number of hit-and-run crashes remained stable at 1 in both July 2022 and July 2023. The hit-and-run crash rate slightly decreased from 5.6% in July 2022 to 4.8% in July 2023. This indicates a minor downward trend in the proportion of crashes involving a hit-and-run.

Vulnerable Road User Casualties

0

Motorists Killed

Prior: 00.0%

2

Motorists Injured

Prior: 14-85.7%

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2023-07-01 to 2023-07-31 · 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 Friday with 3 crashes in July 2022 to Saturday and Sunday, both with 4 crashes, in July 2023. The peak hour for crashes also changed, moving from 2 PM with 3 crashes in July 2022 to 8 PM with 4 crashes in July 2023.

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2023-07-01 to 2023-07-31 · Crash date field aggregated by weekday

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2023-07-01 to 2023-07-31 · Crash time field aggregated by hour (0-23)

Crash Severity Breakdown

Fatalities remained at 0 in both July 2022 and July 2023. Total injuries decreased significantly by 85.71%, from 14 in July 2022 to 2 in July 2023. In July 2022, 11.1% of crashes resulted in serious injuries and 16.7% in minor injuries, whereas in July 2023, 9.5% of crashes resulted in minor injuries, with no serious injuries reported.

Outcome by Severity (Crash Events)

Minor Injury2minor injury crashes9.5%
-33.3%prior 3
No Injury19no injury crashes90.5%
72.7%prior 11

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2023-07-01 to 2023-07-31 · KABCO injury classification scale

Severity Distribution (Crash Events)

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2023-07-01 to 2023-07-31 · Most severe injury per crash record

Top Contributing Factors

Crashes attributed to "Inattention" increased from 2 in July 2022 to 5 in July 2023, a 150% increase in count. Similarly, "No improper driving" increased from 1 crash to 5 crashes, a 400% increase in count. Conversely, crashes due to "Failed to yield right of way" decreased from 3 to 1, a 66.67% decrease in count.

Officer-Reported Primary Contributing Cause

Inattention5 (23.8%)
No improper driving5 (23.8%)
Followed too closely2 (9.5%)
Fatigued/asleep1 (4.8%)
Distracted1 (4.8%)
Exceeded authorized speed limit1 (4.8%)
Driving too fast for conditions1 (4.8%)
Other improper action1 (4.8%)
Physical impairment1 (4.8%)
Failed to yield right of way1 (4.8%)

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2023-07-01 to 2023-07-31 · Officer-reported primary contributory cause per crash

Road & Environmental Conditions

Crashes occurring in "Clear" weather conditions decreased from 17 in July 2022 to 14 in July 2023. Crashes on "Wet" road surfaces increased from 1 in July 2022 to 5 in July 2023, while those on "Dry" surfaces decreased from 17 to 16. Crashes occurring in "Dark - roadway not lighted" conditions increased from 2 to 6.

Weather

Clear14 (70.0%)
-17.6%prior 17
Cloudy/Rain3 (15.0%)
Rain2 (10.0%)
Cloudy1 (5.0%)

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2023-07-01 to 2023-07-31 · Weather condition at time of crash

Lighting

Daylight14 (66.7%)
0.0%prior 14
Dark - roadway not lighted6 (28.6%)
Dusk1 (4.8%)

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2023-07-01 to 2023-07-31 · Lighting condition field

Road Surface

Dry16 (76.2%)
-5.9%prior 17
Wet5 (23.8%)

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2023-07-01 to 2023-07-31 · Road surface condition field

Vehicles & Demographics

Top Vehicle Makes (38 vehicles)

1
TOYOTA8 (21.1%)
33.3%prior 6
2
FORD4 (10.5%)
3
NISSAN2 (5.3%)
4
CHEVROLET2 (5.3%)
5
HONDA2 (5.3%)
6
VOLKSWAGEN2 (5.3%)
7
VOLVO2 (5.3%)
8
ACURA1 (2.6%)
9
JEEP1 (2.6%)
10
KAWASAKI1 (2.6%)

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2023-07-01 to 2023-07-31 · Vehicle unit records

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

Sex Distribution (44 persons with recorded sex)

Male29 (65.9%)
38.1%prior 21
Female15 (34.1%)
-6.3%prior 16

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2023-07-01 to 2023-07-31 · Person-level records linked to crash events

Speed Limit Zones

The distribution of crashes by speed limit shifted, with crashes at the 40 MPH speed limit increasing from 4 in July 2022 to 8 in July 2023. Crashes at the 65 MPH speed limit also increased from 6 to 8. Meanwhile, crashes at the 30 MPH speed limit decreased from 4 to 1.

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2023-07-01 to 2023-07-31 · 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: 2023-07-01 through 2023-07-31
  • Report generated: June 21, 2026

Data Coverage

  • Reporting period: 2023-07-01 through 2023-07-31 (31 days)
  • Geographic scope: BOLTON, MA
  • Total crash records analyzed: 21
  • Total persons involved: 47
  • Total vehicles involved: 38

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: July 2023." Published June 21, 2026. Reporting period: 2023-07-01 to 2023-07-31. Data source: Massachusetts Crash Data (MassDOT CDV), Arcgis_yearly Open Data. Available at: https://thatcarhitme.com/crash-data/massachusetts/bolton/july-2023-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

ThatCarHitMe.com · An Injuria.ai Company

Bolton, MA Crash Report — July 2023 | ThatCarHitMe.com