Monthly Traffic Safety Analysis

9 CRASHES IN
TEWKSBURY, MA
MARCH 2025

All metrics benchmarked againstMarch 2024

In March 2025, Tewksbury experienced 9 total crashes, a significant decrease compared to the 52 crashes recorded in March 2024. This represents an 82.69% reduction in total crashes year-over-year. Fatalities remained at 0 in both periods, while total injuries decreased from 16 in March 2024 to 3 in March 2025.

9

▼ -82.7%was 52

Total Crash Events

0

Persons Killed

3

▼ -81.3%was 16

Persons Injured

0

▼ -100.0%was 4

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

Trend Summary

The overall trend indicates a substantial decrease in crash incidents, with total crashes falling from 52 in March 2024 to 9 in March 2025. This represents an 82.69% reduction in crashes year-over-year. Injuries also saw a notable decline from 16 to 3 during the same period.

Vulnerable Road User Casualties

0

Motorists Killed

Prior: 0→0.0%

3

Motorists Injured

Prior: 16↓-81.3%

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 distribution of crashes shifted significantly year-over-year. In March 2025, the peak day for crashes was Wednesday with 4 incidents, whereas in March 2024, Saturday was the peak day with 10 incidents. The peak hour also changed, moving from 3 PM with 7 crashes in March 2024 to 4 AM with 2 crashes in March 2025.

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

There were no fatal crashes or fatalities in either March 2024 or March 2025. Total injuries decreased from 16 in March 2024 to 3 in March 2025. Minor injuries (severity B) decreased from 8 to 2, and possible injuries (severity C) decreased from 2 to 0.

Outcome by Severity (Crash Events)

Minor Injury2minor injury crashes22.2%
↓-75.0%prior 8
No Injury7no injury crashes77.8%
↓-82.9%prior 41

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

In March 2025, 'Followed too closely' was the most frequent contributing factor with 5 crashes, while in March 2024, 'No improper driving' was most frequent with 12 crashes. Crashes attributed to 'Followed too closely' decreased from 6 in March 2024 to 5 in March 2025. 'No improper driving' incidents decreased from 12 to 3, and 'Operating vehicle in erratic, reckless, careless, negligent or aggressive manner' decreased from 4 to 1. Notably, 'Inattention', which contributed to 11 crashes in March 2024, was not recorded in March 2025.

Officer-Reported Primary Contributing Cause

Followed too closely5 (55.6%)↓-16.7%prior 6
No improper driving3 (33.3%)↓-75.0%prior 12
Operating vehicle in erratic, reckless, careless, negligent or aggressive manner1 (11.1%)

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 from 33 in March 2024 to 5 in March 2025, while 'Rain' condition crashes decreased from 10 to 1. Crashes on 'Dry' road surfaces decreased from 34 to 7, and those on 'Wet' surfaces decreased from 15 to 2. Notably, crashes occurring in 'Dark - roadway not lighted' conditions increased from 2 in March 2024 to 3 in March 2025.

Weather

Clear5 (55.6%)
↓-84.8%prior 33
Clear/Clear1 (11.1%)
Clear/Cloudy1 (11.1%)
Cloudy/Cloudy1 (11.1%)
Rain/Rain1 (11.1%)

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

Lighting

Daylight5 (55.6%)
↓-83.9%prior 31
Dark - roadway not lighted3 (33.3%)
Dusk1 (11.1%)

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

Road Surface

Dry7 (77.8%)
↓-79.4%prior 34
Wet2 (22.2%)
↓-86.7%prior 15

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 (21 vehicles)

1
TOYOTA4 (19%)
↓-77.8%prior 18
2
HONDA2 (9.5%)
↓-86.7%prior 15
3
MERCEDES-BENZ2 (9.5%)
4
HYUNDAI1 (4.8%)
5
INFI1 (4.8%)
6
JEEP1 (4.8%)
↓-83.3%prior 6
7
KIA1 (4.8%)
8
KIA MOTORS CORP1 (4.8%)
9
MAZDA1 (4.8%)
10
NISSAN1 (4.8%)
↓-80.0%prior 5

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

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

Sex Distribution (25 persons with recorded sex)

Male16 (64.0%)
↓-76.1%prior 67
Female9 (36.0%)
↓-71.9%prior 32

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 by speed limit zones changed considerably, with March 2025 reporting all 9 crashes occurring in the 65 mph zone, a decrease from 10 crashes in this zone in March 2024. In contrast, March 2024 saw crashes distributed across various speed limits including 10, 25, 30, 35, 40, 45, and 65 mph. No fatal crashes were recorded in any speed zone for 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: TEWKSBURY, MA
  • Total crash records analyzed: 9
  • Total persons involved: 26
  • Total vehicles involved: 21

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). "TEWKSBURY, 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/tewksbury/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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Tewksbury, MA Crash Report — March 2025 | ThatCarHitMe.com