Monthly Traffic Safety Analysis

19 CRASHES IN
HOLDEN, MA
MARCH 2025

All metrics benchmarked againstMarch 2024

March 2025 saw a decrease in total crashes in HOLDEN, MA, with 19 crashes compared to 25 crashes in March 2024, a 24% reduction. Total injuries also decreased from 6 to 5 year-over-year. A notable shift was the increase in serious injury crashes from 0 to 1, despite the overall decline in crash incidents.

19

-24.0%was 25

Total Crash Events

0

Persons Killed

5

-16.7%was 6

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 · 2025-03-01 to 2025-03-31 · Aggregate counts from crash, person, and vehicle records

Trend Summary

Overall, crash data for HOLDEN, MA, indicates a downward trend year-over-year, with total crashes decreasing by 24% from 25 in March 2024 to 19 in March 2025. This reduction in incidents was accompanied by a 16.7% decrease in total injuries, falling from 6 to 5 over the same period.

Vulnerable Road User Casualties

0

Pedestrians Killed

Prior: 00.0%

0

Motorists Killed

Prior: 00.0%

1

Pedestrians Injured

Prior: 0%

4

Motorists Injured

Prior: 6-33.3%

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2025-03-01 to 2025-03-31 · Mode classified from person records (driver/passenger → motorist; pedestrian; bicyclist → cyclist; in-line skater / unspecified → other)

When Crashes Happen

The temporal patterns of crashes shifted between the two periods. In March 2025, the peak day for crashes was Monday with 7 incidents, a change from March 2024 when Saturday recorded the highest count with 5 crashes. The peak hour also shifted from 3 PM with 5 crashes in the prior period to 5 PM with 3 crashes in the current period.

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2025-03-01 to 2025-03-31 · Crash date field aggregated by weekday

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2025-03-01 to 2025-03-31 · Crash time field aggregated by hour (0-23)

Crash Severity Breakdown

Fatal crashes remained at zero in both March 2024 and March 2025. While total injuries decreased from 6 to 5, there was a shift in injury severity distribution. Serious injury crashes increased from 0 in March 2024 to 1 in March 2025, and minor injury crashes increased from 2 to 4.

Outcome by Severity (Crash Events)

Serious Injury1serious injury crashes5.3%
Minor Injury4minor injury crashes21.1%
100.0%prior 2
No Injury14no injury crashes73.7%
-30.0%prior 20

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2025-03-01 to 2025-03-31 · KABCO injury classification scale

Severity Distribution (Crash Events)

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2025-03-01 to 2025-03-31 · Most severe injury per crash record

Top Contributing Factors

The top contributing factor, "No improper driving," decreased by 1 crash, from 7 in March 2024 to 6 in March 2025. Crashes attributed to "Failed to yield right of way" remained consistent at 3 in both periods. Notably, "Failure to keep in proper lane or running off road" increased from 1 crash to 3 crashes, representing a 200% increase in count.

Officer-Reported Primary Contributing Cause

No improper driving6 (31.6%)-14.3%prior 7
Failed to yield right of way3 (15.8%)
Failure to keep in proper lane or running off road3 (15.8%)
Distracted2 (10.5%)
Other improper action2 (10.5%)
Driving too fast for conditions1 (5.3%)

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2025-03-01 to 2025-03-31 · Officer-reported primary contributory cause per crash

Road & Environmental Conditions

Crashes occurring in clear weather conditions decreased slightly from 12 in March 2024 to 11 in March 2025. There was a notable reduction in crashes under adverse conditions, with incidents involving rain decreasing from 8 to 5, and those on wet road surfaces decreasing from 10 to 6. Crashes in daylight also saw a decrease from 19 to 17, while those in dark-lighted roadway conditions decreased from 5 to 2.

Weather

Clear11 (57.9%)
-8.3%prior 12
Rain2 (10.5%)
-60.0%prior 5
Cloudy2 (10.5%)
Rain/Fog, smog, smoke1 (5.3%)
Fog, smog, smoke1 (5.3%)
Cloudy/Rain1 (5.3%)
Rain/Cloudy1 (5.3%)

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2025-03-01 to 2025-03-31 · Weather condition at time of crash

Lighting

Daylight17 (89.5%)
-10.5%prior 19
Dark - lighted roadway2 (10.5%)
-60.0%prior 5

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2025-03-01 to 2025-03-31 · Lighting condition field

Road Surface

Dry13 (68.4%)
-7.1%prior 14
Wet6 (31.6%)
-40.0%prior 10

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2025-03-01 to 2025-03-31 · Road surface condition field

Vehicles & Demographics

Top Vehicle Makes (35 vehicles)

1
HONDA6 (17.1%)
20.0%prior 5
2
TOYOTA5 (14.3%)
-16.7%prior 6
3
CHEVROLET5 (14.3%)
4
JEEP4 (11.4%)
5
HYUNDAI3 (8.6%)
6
FORD2 (5.7%)
-66.7%prior 6
7
RAM2 (5.7%)
8
MAZDA2 (5.7%)
9
VOLVO1 (2.9%)
10
KAWK1 (2.9%)

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2025-03-01 to 2025-03-31 · Vehicle unit records

Sex Distribution (48 persons with recorded sex)

Female25 (52.1%)
25.0%prior 20
Male23 (47.9%)
-17.9%prior 28

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2025-03-01 to 2025-03-31 · Person-level records linked to crash events

Speed Limit Zones

The distribution of crashes across speed zones shifted year-over-year, with incidents in the 35 mph zone decreasing from 14 to 9, and in the 30 mph zone from 5 to 3. Conversely, crashes in the 25 mph zone increased from 2 to 3. No fatal crashes were recorded in any speed zone during either period.

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2025-03-01 to 2025-03-31 · 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: 2025-03-01 through 2025-03-31
  • Report generated: June 21, 2026

Data Coverage

  • Reporting period: 2025-03-01 through 2025-03-31 (31 days)
  • Geographic scope: HOLDEN, MA
  • Total crash records analyzed: 19
  • Total persons involved: 48
  • Total vehicles involved: 35

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). "HOLDEN, MA Crash Intelligence Report: March 2025." Published June 21, 2026. Reporting period: 2025-03-01 to 2025-03-31. Data source: Massachusetts Crash Data (MassDOT CDV), Arcgis_yearly Open Data. Available at: https://thatcarhitme.com/crash-data/massachusetts/holden/march-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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Holden, MA Crash Report — March 2025 | ThatCarHitMe.com