Monthly Traffic Safety Analysis

72 CRASHES IN
ATTLEBORO, MA
APRIL 2025

All metrics benchmarked againstApril 2024

ATTLEBORO experienced a slight increase in total crashes, rising from 69 in April 2024 to 72 in April 2025, representing a 4.35% increase. The most notable year-over-year shift was a 50% decrease in hit-and-run crashes, which fell from 4 to 2 incidents.

72

4.3%was 69

Total Crash Events

0

Persons Killed

22

-8.3%was 24

Persons Injured

2

-50.0%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 · 2025-04-01 to 2025-04-30 · Aggregate counts from crash, person, and vehicle records

Trend Summary

Overall, crash data for ATTLEBORO shows a slight upward trend in total crashes, with an increase of 3 incidents from 69 in April 2024 to 72 in April 2025. This represents a 4.35% rise in crashes year-over-year.

2

Hit-and-Run Crashes — April 2025

-50.0% vs prior (4)

Hit-and-run crashes saw a significant decrease, falling from 4 incidents in April 2024 to 2 incidents in April 2025. The hit-and-run rate also decreased from 5.8% to 2.8% year-over-year, indicating a downward trend.

Vulnerable Road User Casualties

0

Motorists Killed

Prior: 00.0%

22

Motorists Injured

Prior: 220.0%

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2025-04-01 to 2025-04-30 · Mode classified from person records (driver/passenger → motorist; pedestrian; bicyclist → cyclist; in-line skater / unspecified → other)

When Crashes Happen

The peak day for crashes shifted from Thursday in April 2024 (14 crashes) to Saturday in April 2025 (14 crashes), with both days recording the same number of incidents. The peak hour for crashes also changed, moving from 5 PM with 10 crashes in April 2024 to 1 PM with 11 crashes in April 2025.

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2025-04-01 to 2025-04-30 · Crash date field aggregated by weekday

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2025-04-01 to 2025-04-30 · Crash time field aggregated by hour (0-23)

Crash Severity Breakdown

There were no fatal crashes in either April 2024 or April 2025. Total injuries decreased slightly from 24 in April 2024 to 22 in April 2025. While minor injuries increased from 10 to 11, April 2025 saw one serious injury crash, a category not present in April 2024.

Outcome by Severity (Crash Events)

Serious Injury1serious injury crashes1.4%
Minor Injury11minor injury crashes15.3%
10.0%prior 10
Possible Injury7possible injury crashes9.7%
0.0%prior 7
No Injury53no injury crashes73.6%
6.0%prior 50

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2025-04-01 to 2025-04-30 · KABCO injury classification scale

Severity Distribution (Crash Events)

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2025-04-01 to 2025-04-30 · Most severe injury per crash record

Top Contributing Factors

The leading contributing factor, 'Failed to yield right of way,' increased significantly from 10 crashes in April 2024 to 21 crashes in April 2025, a 110% increase in count. Conversely, 'Followed too closely' decreased slightly from 13 crashes to 12 crashes, while 'Distracted' crashes saw a substantial 87.5% decrease in count, falling from 8 to 1 incident.

Officer-Reported Primary Contributing Cause

Failed to yield right of way21 (29.2%)110.0%prior 10
Followed too closely12 (16.7%)-7.7%prior 13
No improper driving7 (9.7%)
Inattention6 (8.3%)-25.0%prior 8
Failure to keep in proper lane or running off road5 (6.9%)
Driving too fast for conditions4 (5.6%)
Disregarded traffic signs, signals, road markings3 (4.2%)-57.1%prior 7
Operating defective equipment2 (2.8%)
Operating vehicle in erratic, reckless, careless, negligent or aggressive manner2 (2.8%)
Over-correcting/over-steering1 (1.4%)

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2025-04-01 to 2025-04-30 · Officer-reported primary contributory cause per crash

Road & Environmental Conditions

Crashes occurring on wet road surfaces increased from 17 in April 2024 to 23 in April 2025. Incidents during dark conditions with unlighted roadways also rose from 1 to 5. Conversely, crashes during daylight conditions slightly decreased from 50 to 49.

Weather

Clear/Clear35 (48.6%)
52.2%prior 23
Clear11 (15.3%)
-47.6%prior 21
Rain/Rain7 (9.7%)
40.0%prior 5
Rain/Cloudy5 (6.9%)
Cloudy/Rain4 (5.6%)
Rain3 (4.2%)
Cloudy/Cloudy3 (4.2%)
Clear/Rain1 (1.4%)
Cloudy/Other1 (1.4%)
Rain/Clear1 (1.4%)

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2025-04-01 to 2025-04-30 · Weather condition at time of crash

Lighting

Daylight49 (68.1%)
-2.0%prior 50
Dark - lighted roadway14 (19.4%)
-6.7%prior 15
Dark - roadway not lighted5 (6.9%)
Dawn4 (5.6%)

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2025-04-01 to 2025-04-30 · Lighting condition field

Road Surface

Dry49 (68.1%)
-5.8%prior 52
Wet23 (31.9%)
35.3%prior 17

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2025-04-01 to 2025-04-30 · Road surface condition field

Vehicles & Demographics

The total number of vehicles involved in crashes remained stable, with 133 in April 2024 and 134 in April 2025. The 16-20 age group saw a significant increase in participant count from 7 to 22, while the 26-34 age group experienced a decrease from 32 to 24 participants. Toyota remained the most common vehicle make, increasing from 24 to 30 incidents, and Nissan saw a notable rise from 7 to 15 incidents.

Top Vehicle Makes (134 vehicles)

1
TOYOTA30 (22.4%)
25.0%prior 24
2
NISSAN15 (11.2%)
114.3%prior 7
3
HONDA12 (9%)
-7.7%prior 13
4
FORD11 (8.2%)
-8.3%prior 12
5
CHEVROLET7 (5.2%)
-30.0%prior 10
6
JEEP7 (5.2%)
0.0%prior 7
7
KIA6 (4.5%)
20.0%prior 5
8
VOLKSWAGEN5 (3.7%)
9
HYUNDAI4 (3%)
-50.0%prior 8
10
GMC4 (3%)

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2025-04-01 to 2025-04-30 · Vehicle unit records

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

Sex Distribution (147 persons with recorded sex)

Male87 (59.2%)
-1.1%prior 88
Female60 (40.8%)
7.1%prior 56

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2025-04-01 to 2025-04-30 · Person-level records linked to crash events

Speed Limit Zones

Crashes in 65 mph speed zones decreased from 11 in April 2024 to 7 in April 2025. There was also a reduction in crashes within 35 mph zones, falling from 10 to 5. Conversely, crashes in 40 mph zones increased from 6 to 10 incidents.

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2025-04-01 to 2025-04-30 · 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: 2025-04-01 through 2025-04-30
  • Report generated: June 21, 2026

Data Coverage

  • Reporting period: 2025-04-01 through 2025-04-30 (30 days)
  • Geographic scope: ATTLEBORO, MA
  • Total crash records analyzed: 72
  • Total persons involved: 155
  • Total vehicles involved: 134

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). "ATTLEBORO, MA Crash Intelligence Report: April 2025." Published June 21, 2026. Reporting period: 2025-04-01 to 2025-04-30. Data source: Massachusetts Crash Data (MassDOT CDV), Arcgis_yearly Open Data. Available at: https://thatcarhitme.com/crash-data/massachusetts/attleboro/april-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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Attleboro, MA Crash Report — April 2025 | ThatCarHitMe.com