Monthly Traffic Safety Analysis

12 CRASHES IN
AMESBURY, MA
MARCH 2025

All metrics benchmarked againstMarch 2024

March 2025 saw 12 crashes in AMESBURY, a significant increase compared to the 3 crashes recorded in March 2024. This represents a 300% increase in total crashes year-over-year. The most notable shift was the increase in injuries from 0 in March 2024 to 1 in March 2025.

12

300.0%was 3

Total Crash Events

0

Persons Killed

1

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 activity in AMESBURY experienced a substantial increase year-over-year, with total crashes rising from 3 in March 2024 to 12 in March 2025. This represents a 300% increase in crash incidents for the month. Fatalities remained at 0 in both periods, but injuries increased from 0 to 1.

Vulnerable Road User Casualties

0

Motorists Killed

Prior: 00.0%

1

Motorists Injured

Prior: 0%

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 distribution of crashes shifted year-over-year. In March 2025, Thursday was the peak day with 3 crashes, while in March 2024, Thursday was also a peak day but with only 1 crash, shared with Monday and Wednesday. The peak hour also changed, with March 2025 recording peak activity at 11 AM with 2 crashes, whereas March 2024's peak hour was 8 PM with 1 crash. Crashes on Sundays, Mondays, Wednesdays, Thursdays, Fridays, and Saturdays all increased in count or appeared in March 2025, indicating a broader distribution of incidents throughout the week.

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

Outcome by Severity (Crash Events)

Minor Injury1minor injury crashes8.3%
No Injury11no injury crashes91.7%

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

Contributing factors show notable changes year-over-year. Crashes attributed to "No improper driving" increased from 1 in March 2024 to 2 in March 2025, a 100% increase in count. Factors such as "Driving too fast for conditions" and "Fatigued/asleep," each contributing to 1 crash in March 2024, were not present in March 2025. New contributing factors emerged in March 2025, including "History heart/epilepsy/fainting," "Other improper action," and "Inattention," each accounting for 2 crashes.

Officer-Reported Primary Contributing Cause

No improper driving2 (16.7%)
History heart/epilepsy/fainting2 (16.7%)
Other improper action2 (16.7%)
Inattention2 (16.7%)
Followed too closely1 (8.3%)
Operating vehicle in erratic, reckless, careless, negligent or aggressive manner1 (8.3%)
Failed to yield right of way1 (8.3%)

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

Crash conditions show an increase in incidents across most categories, largely mirroring the overall rise in crash counts. Crashes under clear weather conditions increased from 2 in March 2024 to 10 in March 2025, while crashes in rainy conditions remained stable at 1 for both periods. Incidents on dry road surfaces rose from 2 in March 2024 to 11 in March 2025. Daylight crashes significantly increased from 1 in March 2024 to 10 in March 2025, with shifts in dark condition types, and the appearance of 1 crash at dawn in March 2025.

Weather

Clear10 (83.3%)
Cloudy1 (8.3%)
Rain1 (8.3%)

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

Lighting

Daylight10 (83.3%)
Dark - lighted roadway1 (8.3%)
Dawn1 (8.3%)

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

Road Surface

Dry11 (91.7%)
Wet1 (8.3%)

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 (20 vehicles)

1
FORD4 (20%)
2
TOYOTA4 (20%)
3
HONDA3 (15%)
4
LEXUS2 (10%)
5
HYUNDAI1 (5%)
6
CHEVROLET1 (5%)
7
LINC1 (5%)
8
MERCEDES-BENZ1 (5%)
9
NISSAN1 (5%)
10
SUBARU1 (5%)

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

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

Sex Distribution (21 persons with recorded sex)

Male13 (61.9%)
550.0%prior 2
Female8 (38.1%)
300.0%prior 2

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 changed considerably year-over-year. Crashes in 65 MPH zones decreased from 3 in March 2024 to 1 in March 2025, representing a 66.7% reduction. In March 2025, the majority of crashes (7 out of 12) occurred in 25 MPH zones, a category that had no crashes in March 2024. Crashes also appeared in 10, 35, 40, and 45 MPH zones in March 2025, each with 1 crash, whereas these zones had no reported crashes in the prior period. No fatalities 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: AMESBURY, MA
  • Total crash records analyzed: 12
  • Total persons involved: 22
  • Total vehicles involved: 20

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). "AMESBURY, 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/amesbury/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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Amesbury, MA Crash Report — March 2025 | ThatCarHitMe.com