Monthly Traffic Safety Analysis

43 CRASHES IN
DARTMOUTH, MA
APRIL 2025

All metrics benchmarked againstApril 2024

In April 2025, Dartmouth experienced 43 crashes, marking a 16.22% increase from the 37 crashes recorded in April 2024. A significant shift was the occurrence of one fatal crash in the current period, compared to zero fatalities in the prior year.

43

16.2%was 37

Total Crash Events

1

Persons Killed

18

-25.0%was 24

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

Trend Summary

The overall trend indicates an increase in crash incidents, with 43 crashes in April 2025 compared to 37 crashes in April 2024. This represents a rise of 6 crashes, or a 16.22% increase year-over-year.

1

Hit-and-Run Crashes — April 2025

2.3% hit-and-run rate this period vs 0.0% prior. Prior period: 0.

Vulnerable Road User Casualties

0

Cyclists Killed

Prior: 00.0%

1

Motorists Killed

Prior: 0%

1

Cyclists Injured

Prior: 0%

17

Motorists Injured

Prior: 24-29.2%

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 Tuesday, with 8 incidents in April 2024, to Wednesday, with 10 incidents in April 2025. The peak hour for crashes remained in the late afternoon, with 6 crashes occurring at 4p in the prior period and 6 crashes at 5p in the current period.

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

The current period recorded 1 fatality, compared to 0 in the prior period, marking a notable increase in crash severity. Total injuries decreased by 25%, from 24 in April 2024 to 18 in April 2025. Serious injuries increased from 0 in the prior period to 3 in the current period, while minor injuries decreased from 14 (37.8% share of crashes) to 12 (27.9% share of crashes).

Outcome by Severity (Crash Events)

Fatal1fatal crashes2.3%
Serious Injury3serious injury crashes7%
Minor Injury12minor injury crashes27.9%
-14.3%prior 14
Possible Injury2possible injury crashes4.7%
0.0%prior 2
No Injury25no injury crashes58.1%
19.0%prior 21

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 contributing factor 'Operating vehicle in erratic, reckless, careless, negligent or aggressive manner' saw a substantial increase, rising from 2 crashes in April 2024 to 8 crashes in April 2025, representing a 300% increase in count. 'Failed to yield right of way' also doubled, from 3 crashes to 6 crashes year-over-year. Conversely, 'Inattention' decreased slightly from 8 crashes in the prior period to 7 crashes in the current period.

Officer-Reported Primary Contributing Cause

Operating vehicle in erratic, reckless, careless, negligent or aggressive manner8 (18.6%)
Inattention7 (16.3%)-12.5%prior 8
Followed too closely6 (14%)20.0%prior 5
Failed to yield right of way6 (14%)
No improper driving4 (9.3%)
Disregarded traffic signs, signals, road markings2 (4.7%)
Distracted2 (4.7%)
Failure to keep in proper lane or running off road2 (4.7%)
Exceeded authorized speed limit1 (2.3%)
Driving too fast for conditions1 (2.3%)

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 in 'Daylight' conditions increased from 28 in April 2024 to 35 in April 2025. Crashes on 'Wet' road surfaces nearly doubled, increasing from 5 in the prior period to 9 in the current period. Meanwhile, crashes under 'Clear' weather conditions decreased from 28 to 25.

Weather

Clear25 (58.1%)
-10.7%prior 28
Cloudy6 (14.0%)
20.0%prior 5
Rain4 (9.3%)
Clear/Clear3 (7.0%)
Cloudy/Rain3 (7.0%)
Cloudy/Cloudy1 (2.3%)
Rain/Cloudy1 (2.3%)

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

Lighting

Daylight35 (81.4%)
25.0%prior 28
Dark - lighted roadway5 (11.6%)
-28.6%prior 7
Dark - roadway not lighted3 (7.0%)

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

Road Surface

Dry34 (79.1%)
6.3%prior 32
Wet9 (20.9%)
80.0%prior 5

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 increased by 24.6%, from 65 in April 2024 to 81 in April 2025. TOYOTA vehicles involved in crashes more than doubled, rising from 8 to 18 and becoming the top make. The 16-20 age group saw a significant increase in persons involved, from 9 to 21, and the 55-64 age group also rose from 8 to 18.

Top Vehicle Makes (81 vehicles)

1
TOYOTA18 (22.2%)
125.0%prior 8
2
HONDA9 (11.1%)
3
FORD7 (8.6%)
-53.3%prior 15
4
CHEVROLET6 (7.4%)
5
JEEP5 (6.2%)
6
NISSAN5 (6.2%)
7
GMC3 (3.7%)
8
CHRYSLER3 (3.7%)
9
KIA2 (2.5%)
10
RAM2 (2.5%)

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

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

Sex Distribution (95 persons with recorded sex)

Male49 (51.6%)
4.3%prior 47
Female45 (47.4%)
50.0%prior 30
X / Unspecified1 (1.1%)

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 30 mph zones increased from 8 in April 2024 to 15 in April 2025, and crashes in 35 mph zones increased from 4 to 8. Conversely, crashes in 40 mph zones decreased from 17 to 12 year-over-year. A fatal crash was recorded in a 65 mph zone in the current period, whereas no fatal crashes occurred in this zone in the prior period.

Fatal crashes by zone: 65 mph: 1 of 5 (20%)

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: DARTMOUTH, MA
  • Total crash records analyzed: 43
  • Total persons involved: 101
  • Total vehicles involved: 81

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). "DARTMOUTH, 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/dartmouth/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

ThatCarHitMe.com · An Injuria.ai Company

Dartmouth, MA Crash Report — April 2025 | ThatCarHitMe.com