Monthly Traffic Safety Analysis

12 CRASHES IN
CARVER, MA
JANUARY 2025

All metrics benchmarked againstJanuary 2024

In January 2025, CARVER experienced 12 crashes, a decrease of 52% compared to the 25 crashes recorded in January 2024. The most notable shift was the occurrence of 1 fatality in January 2025, whereas no fatalities were reported in January 2024.

12

-52.0%was 25

Total Crash Events

1

Persons Killed

4

33.3%was 3

Persons Injured

1

Fatal Crash Events

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 · 2025-01-01 to 2025-01-31 · Aggregate counts from crash, person, and vehicle records

Trend Summary

Overall, crash incidents in CARVER showed a significant downward trend year-over-year, decreasing by 52% from 25 crashes in January 2024 to 12 crashes in January 2025. This reduction represents a decrease of 13 crashes.

Vulnerable Road User Casualties

1

Motorists Killed

Prior: 0%

4

Motorists Injured

Prior: 333.3%

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2025-01-01 to 2025-01-31 · 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 Sunday in January 2024 (8 crashes) to Thursday in January 2025 (4 crashes). Similarly, the peak crash hour changed from 5 PM with 5 crashes in January 2024 to 10 PM with 2 crashes in January 2025.

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2025-01-01 to 2025-01-31 · Crash date field aggregated by weekday

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2025-01-01 to 2025-01-31 · Crash time field aggregated by hour (0-23)

Crash Severity Breakdown

A significant change in crash severity was observed, with 1 fatal crash occurring in January 2025, compared to 0 fatal crashes in January 2024. The fatal crash rate increased from 0% to 8.33% year-over-year. Total injuries increased from 3 in January 2024 to 4 in January 2025, even as overall crash volume decreased.

Outcome by Severity (Crash Events)

Fatal1fatal crashes8.3%
Minor Injury2minor injury crashes16.7%
0.0%prior 2
Possible Injury1possible injury crashes8.3%
No Injury8no injury crashes66.7%
-63.6%prior 22

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2025-01-01 to 2025-01-31 · KABCO injury classification scale

Severity Distribution (Crash Events)

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2025-01-01 to 2025-01-31 · Most severe injury per crash record

Top Contributing Factors

The most common contributing factor, 'No improper driving,' decreased from 6 crashes in January 2024 to 4 crashes in January 2025. Factors such as 'Driving too fast for conditions' and 'Inattention' both saw a reduction of 2 crashes each year-over-year, decreasing from 4 to 2 and 3 to 1 crashes, respectively. Additionally, factors like 'Failed to yield right of way' and 'Over-correcting/over-steering,' which accounted for 3 and 2 crashes in January 2024, were not observed as contributing factors in January 2025.

Officer-Reported Primary Contributing Cause

No improper driving4 (33.3%)-33.3%prior 6
Driving too fast for conditions2 (16.7%)
Failure to keep in proper lane or running off road1 (8.3%)
Inattention1 (8.3%)
Exceeded authorized speed limit1 (8.3%)
Operating vehicle in erratic, reckless, careless, negligent or aggressive manner1 (8.3%)
Swerving or avoiding due to wind, slippery surface, vehicle, object, vulnerable user in roadway1 (8.3%)

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2025-01-01 to 2025-01-31 · Officer-reported primary contributory cause per crash

Road & Environmental Conditions

The proportion of crashes occurring in adverse weather conditions decreased year-over-year, with 2 crashes reported in rain or snow in January 2025 compared to 17 crashes in various adverse conditions in January 2024. Crashes on dry road surfaces decreased from 13 in January 2024 to 7 in January 2025, while crashes on wet or snowy surfaces decreased from 12 to 4. The distribution of crashes by lighting conditions remained relatively stable, with 7 crashes occurring in dark or dusk conditions in January 2025 and 14 in January 2024.

Weather

Clear8 (72.7%)
0.0%prior 8
Clear/Clear1 (9.1%)
Rain1 (9.1%)
Snow1 (9.1%)
-80.0%prior 5

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

Lighting

Daylight5 (41.7%)
-50.0%prior 10
Dark - lighted roadway3 (25.0%)
-50.0%prior 6
Dark - roadway not lighted3 (25.0%)
-57.1%prior 7
Dusk1 (8.3%)

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

Road Surface

Dry7 (58.3%)
-46.2%prior 13
Snow2 (16.7%)
-71.4%prior 7
Wet2 (16.7%)
-60.0%prior 5
Other1 (8.3%)

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

Vehicles & Demographics

Top Vehicle Makes (15 vehicles)

1
TOYOTA6 (40%)
-14.3%prior 7
2
FORD3 (20%)
3
HYUNDAI2 (13.3%)
4
NISSAN1 (6.7%)
5
KIA1 (6.7%)
6
JEEP1 (6.7%)
7
LNDR1 (6.7%)

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

Sex Distribution (16 persons with recorded sex)

Male9 (56.3%)
-64.0%prior 25
Female7 (43.8%)
-61.1%prior 18

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2025-01-01 to 2025-01-31 · Person-level records linked to crash events

Speed Limit Zones

Crashes in 35 mph speed zones decreased from 9 in January 2024 to 6 in January 2025, while crashes in 30 mph zones decreased from 4 to 1. Notably, the single fatality in January 2025 occurred within a 35 mph speed zone, which had no fatalities in January 2024. Overall, the distribution of crashes shifted away from lower speed zones (5, 20, 25 mph) which reported crashes in January 2024 but none in January 2025.

Fatal crashes by zone: 35 mph: 1 of 6 (16.667%)

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2025-01-01 to 2025-01-31 · 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: 2025-01-01 through 2025-01-31
  • Report generated: June 21, 2026

Data Coverage

  • Reporting period: 2025-01-01 through 2025-01-31 (31 days)
  • Geographic scope: CARVER, MA
  • Total crash records analyzed: 12
  • Total persons involved: 17
  • Total vehicles involved: 15

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). "CARVER, MA Crash Intelligence Report: January 2025." Published June 21, 2026. Reporting period: 2025-01-01 to 2025-01-31. Data source: Massachusetts Crash Data (MassDOT CDV), Arcgis_yearly Open Data. Available at: https://thatcarhitme.com/crash-data/massachusetts/carver/january-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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Carver, MA Crash Report — January 2025 | ThatCarHitMe.com