Monthly Traffic Safety Analysis

8 CRASHES IN
NEWBURY, MA
OCTOBER 2025

All metrics benchmarked againstOctober 2024

In October 2025, Newbury recorded 8 crashes, which is unchanged from the 8 crashes reported in October 2024. However, total injuries increased by 100%, rising from 1 injury in the prior period to 2 injuries in the current period. This increase was driven by the occurrence of 1 serious injury crash in the current period, compared to none in the prior period.

8

Total Crash Events

0

Persons Killed

2

100.0%was 1

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

Overall crash volume remained stable year-over-year, with 8 crashes recorded in both October 2025 and October 2024. While fatalities remained at 0 in both periods, total injuries increased by 100%, from 1 in October 2024 to 2 in October 2025.

Vulnerable Road User Casualties

0

Motorists Killed

Prior: 00.0%

2

Motorists Injured

Prior: 1100.0%

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 distribution of crashes across the week shifted slightly year-over-year; Saturday remained the peak day for crashes, though the count decreased from 3 crashes in October 2024 to 2 crashes in October 2025. Conversely, the peak crash hour remained 3 PM, with the number of crashes at this hour increasing from 2 in the prior period to 3 in the current period. Sunday crashes, which accounted for 1 crash in October 2024, were not observed 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

There were no fatal crashes in either October 2025 or October 2024. However, the total number of injuries increased by 100%, from 1 injury in October 2024 to 2 injuries in October 2025. This change included the presence of 1 serious injury crash in October 2025, whereas no serious injury crashes were reported in October 2024.

Outcome by Severity (Crash Events)

Serious Injury1serious injury crashes12.5%
Minor Injury1minor injury crashes12.5%
0.0%prior 1
No Injury6no injury crashes75%
-14.3%prior 7

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 most common contributing factor, 'No improper driving,' decreased from 3 crashes in October 2024 to 2 crashes in October 2025. Factors such as 'Failed to yield right of way,' 'Failure to keep in proper lane or running off road,' and 'Physical impairment,' each accounting for 1 crash in October 2024, were not present in October 2025. Conversely, 'Other improper action' emerged with 2 crashes in October 2025, and 'Disregarded traffic signs, signals, road markings,' 'Distracted,' 'Inattention,' and 'Over-correcting/over-steering' each appeared with 1 crash in October 2025.

Officer-Reported Primary Contributing Cause

No improper driving2 (25%)
Other improper action2 (25%)
Disregarded traffic signs, signals, road markings1 (12.5%)
Distracted1 (12.5%)
Inattention1 (12.5%)
Over-correcting/over-steering1 (12.5%)

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

Crashes occurring in daylight remained stable at 5 incidents in both October 2025 and October 2024. Crashes in 'Dark - roadway not lighted' conditions decreased from 2 in October 2024 to 1 in October 2025. Additionally, 1 crash occurred at 'Dusk' in October 2025, a condition not observed in the prior period.

Lighting

Daylight5 (62.5%)
0.0%prior 5
Dark - lighted roadway1 (12.5%)
Dark - roadway not lighted1 (12.5%)
Dusk1 (12.5%)

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

Vehicles & Demographics

Top Vehicle Makes (12 vehicles)

1
JEEP2 (16.7%)
2
HYUNDAI2 (16.7%)
3
FORD1 (8.3%)
4
MAZDA1 (8.3%)
5
MITS1 (8.3%)
6
NL1 (8.3%)
7
PORS1 (8.3%)
8
BUIC1 (8.3%)
9
TOYOTA1 (8.3%)
10
CHEVROLET1 (8.3%)

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

Sex Distribution (17 persons with recorded sex)

Male9 (52.9%)
-18.2%prior 11
Female8 (47.1%)
60.0%prior 5

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

No fatal crashes were reported in any speed zone during either period. Crashes in the 45 mph zone remained consistent at 1 crash in both October 2025 and October 2024. Crashes in the 55 mph zone increased from 1 in October 2024 to 2 in October 2025, while crashes in the 65 mph zone decreased from 2 to 1 over the same period. New crash occurrences were observed in the 30 mph (2 crashes) and 35 mph (2 crashes) zones in October 2025, replacing crashes previously seen in the 25 mph (2 crashes) and 40 mph (1 crash) zones in October 2024.

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: NEWBURY, MA
  • Total crash records analyzed: 8
  • Total persons involved: 17
  • Total vehicles involved: 12

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). "NEWBURY, 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/newbury/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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Newbury, MA Crash Report — October 2025 | ThatCarHitMe.com