Monthly Traffic Safety Analysis

37 CRASHES IN
MANSFIELD, MA
MARCH 2025

All metrics benchmarked againstMarch 2024

Total crashes in Mansfield decreased by 9.8% from 41 in March 2024 to 37 in March 2025. Despite this overall decrease, the most notable shift was the increase in total fatalities, from 0 in March 2024 to 1 in March 2025.

37

▼ -9.8%was 41

Total Crash Events

1

Persons Killed

11

▼ -26.7%was 15

Persons Injured

1

Hit-and-Run Crashes

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

Trend Summary

The overall trend indicates a slight decrease in total crashes, falling from 41 to 37, representing a 9.8% reduction year-over-year. However, this period saw an increase in crash severity, with one fatality recorded in March 2025 compared to zero in March 2024.

1

Hit-and-Run Crashes — March 2025

▼ 0.0% vs prior (1)

The number of hit-and-run crashes remained consistent at 1 incident for both March 2024 and March 2025. Due to a decrease in total crashes, the hit-and-run rate slightly increased from 2.4% in March 2024 to 2.7% in March 2025.

Vulnerable Road User Casualties

1

Motorists Killed

Prior: 0→%

11

Motorists Injured

Prior: 15↓-26.7%

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 peak day for crashes remained Friday, with 7 incidents in both periods, although Sunday and Wednesday were also peak days in March 2024. The peak crash hour shifted from 4 PM with 6 crashes in March 2024 to 5 PM with 7 crashes in March 2025. This suggests a slight shift in the most crash-prone hour.

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

The most significant change in severity was the occurrence of 1 fatal crash in March 2025 (2.7% fatal rate), compared to 0 fatal crashes in March 2024 (0% fatal rate). Minor injury crashes decreased from 6 (14.6% share) to 5 (13.5% share), while serious injury crashes (code 'A') decreased from 1 in March 2024 to 0 in March 2025.

Outcome by Severity (Crash Events)

Fatal1fatal crashes2.7%
Minor Injury5minor injury crashes13.5%
↓-16.7%prior 6
Possible Injury3possible injury crashes8.1%
→0.0%prior 3
No Injury28no injury crashes75.7%
↓-9.7%prior 31

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 leading contributing factor shifted from 'Followed too closely' in March 2024 to 'Inattention' in March 2025. Crashes attributed to 'Inattention' increased from 8 to 12, while 'Followed too closely' decreased from 13 to 8 crashes. 'No improper driving' also saw an increase in count from 2 to 5 crashes.

Officer-Reported Primary Contributing Cause

Inattention12 (32.4%)↑50.0%prior 8
Followed too closely8 (21.6%)↓-38.5%prior 13
No improper driving5 (13.5%)
Failure to keep in proper lane or running off road3 (8.1%)
Failed to yield right of way3 (8.1%)
Distracted1 (2.7%)
Driving too fast for conditions1 (2.7%)
Exceeded authorized speed limit1 (2.7%)
Fatigued/asleep1 (2.7%)
Operating vehicle in erratic, reckless, careless, negligent or aggressive manner1 (2.7%)

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 remained stable at 22 incidents for both periods. Crashes on wet road surfaces decreased from 11 in March 2024 to 6 in March 2025. Incidents occurring in daylight decreased from 30 to 26, while those in 'Dark - roadway not lighted' increased from 4 to 6.

Weather

Clear22 (59.5%)
→0.0%prior 22
Cloudy8 (21.6%)
→0.0%prior 8
Clear/Clear3 (8.1%)
Rain2 (5.4%)
↓-71.4%prior 7
Rain/Cloudy1 (2.7%)
Severe crosswinds1 (2.7%)

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

Lighting

Daylight26 (70.3%)
↓-13.3%prior 30
Dark - roadway not lighted6 (16.2%)
Dark - lighted roadway4 (10.8%)
↓-33.3%prior 6
Dusk1 (2.7%)

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

Road Surface

Dry31 (83.8%)
↑3.3%prior 30
Wet6 (16.2%)
↓-45.5%prior 11

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

Vehicles & Demographics

The total number of vehicles involved in crashes decreased from 84 in March 2024 to 68 in March 2025. The 35-44 age group saw a notable decrease in persons involved, from 27 to 15, while the 16-20 age group increased from 13 to 15. Honda remained a top vehicle make, but Toyota, which was the top make in March 2024 with 17 vehicles, was replaced by Honda as the top make in March 2025 with 15 vehicles.

Top Vehicle Makes (68 vehicles)

1
HONDA15 (22.1%)
↓-6.3%prior 16
2
FORD7 (10.3%)
↓-22.2%prior 9
3
HYUNDAI5 (7.4%)
4
CHEVROLET5 (7.4%)
↓-16.7%prior 6
5
JEEP5 (7.4%)
6
NISSAN4 (5.9%)
7
DODGE3 (4.4%)
8
TOYOTA3 (4.4%)
↓-82.4%prior 17
9
MERCEDES-BENZ2 (2.9%)
10
VOLVO2 (2.9%)

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

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

Sex Distribution (78 persons with recorded sex)

Male48 (61.5%)
↓-23.8%prior 63
Female30 (38.5%)
↓-21.1%prior 38

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

Crashes occurring in 65 mph speed zones decreased from 16 in March 2024 to 8 in March 2025. While there were 2 crashes at 35 mph in March 2024 with no fatalities, March 2025 recorded 1 crash at 35 mph, which was fatal. Crashes in 20 mph zones (3 crashes) and 50 mph zones (1 crash) were reported in March 2025 but not in March 2024.

Fatal crashes by zone: 35 mph: 1 of 1 (100%)

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: MANSFIELD, MA
  • Total crash records analyzed: 37
  • Total persons involved: 84
  • Total vehicles involved: 68

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). "MANSFIELD, 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/mansfield/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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Mansfield, MA Crash Report — March 2025 | ThatCarHitMe.com