Monthly Traffic Safety Analysis

10 CRASHES IN
CARVER, MA
APRIL 2025

All metrics benchmarked againstApril 2024

Total crashes in April 2025 decreased by 52.38% to 10, down from 21 crashes in April 2024. While overall crashes declined significantly, the number of hit-and-run crashes increased from 0 in the prior year to 1 in the current period. This marks a substantial reduction in overall crash incidents but introduces a new occurrence of hit-and-run activity.

10

-52.4%was 21

Total Crash Events

0

Persons Killed

3

-25.0%was 4

Persons Injured

1

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

The overall trend indicates a significant decrease in crash activity year-over-year. Total crashes fell by 52.38%, from 21 crashes in April 2024 to 10 crashes in April 2025. Total injuries also decreased, from 4 in April 2024 to 3 in April 2025.

1

Hit-and-Run Crashes — April 2025

10.0% hit-and-run rate this period vs 0.0% prior. Prior period: 0.

Vulnerable Road User Casualties

0

Motorists Killed

Prior: 00.0%

3

Motorists Injured

Prior: 4-25.0%

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 Wednesday with 5 crashes in April 2024 to Tuesday with 4 crashes in April 2025. The peak hour for crashes also changed, moving from 8 PM with 2 crashes in April 2024 to 4 PM with 2 crashes in April 2025. These shifts suggest changes in the specific times and days when crashes are most concentrated.

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. However, the severity distribution of injury crashes changed, with serious injury crashes (code 'A') appearing in April 2025 with 1 crash, compared to 0 in April 2024. Minor injury crashes (code 'B') decreased from 3 in April 2024 to 1 in April 2025, while the proportion of crashes resulting in any injury increased from 14.3% to 20%.

Outcome by Severity (Crash Events)

Serious Injury1serious injury crashes10%
Minor Injury1minor injury crashes10%
-66.7%prior 3
No Injury8no injury crashes80%
-55.6%prior 18

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 top contributing factor, 'Inattention,' decreased in count from 7 crashes in April 2024 to 3 crashes in April 2025, representing a 57.14% reduction. 'Followed too closely,' which accounted for 4 crashes in April 2024, was not a reported factor in April 2025 crashes. New factors like 'Failed to yield right of way' and 'Visibility obstructed' each contributed to 1 crash in April 2025, having not been present in the prior year's top factors.

Officer-Reported Primary Contributing Cause

Inattention3 (30%)-57.1%prior 7
No improper driving2 (20%)
Failed to yield right of way1 (10%)
Other improper action1 (10%)
Visibility obstructed1 (10%)

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

The proportion of crashes occurring in non-clear weather conditions increased from 28.6% (6 of 21 crashes) in April 2024 to 40% (4 of 10 crashes) in April 2025. Similarly, crashes on wet road surfaces increased proportionally from 23.8% (5 of 21 crashes) to 30% (3 of 10 crashes) year-over-year. The proportion of crashes occurring in non-daylight conditions remained relatively stable, increasing slightly from 28.6% to 30%.

Weather

Clear6 (60.0%)
-60.0%prior 15
Cloudy/Rain3 (30.0%)
Cloudy/Clear1 (10.0%)

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

Lighting

Daylight7 (70.0%)
-53.3%prior 15
Dark - lighted roadway1 (10.0%)
Dark - roadway not lighted1 (10.0%)
Dark - unknown roadway lighting1 (10.0%)

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

Road Surface

Dry7 (70.0%)
-56.3%prior 16
Wet3 (30.0%)
-40.0%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

Top Vehicle Makes (17 vehicles)

1
FORD3 (17.6%)
-75.0%prior 12
2
TOYOTA2 (11.8%)
-60.0%prior 5
3
CHEVROLET2 (11.8%)
4
NISSAN2 (11.8%)
5
JEEP1 (5.9%)
6
RAM1 (5.9%)
7
ACURA1 (5.9%)
8
VOLKSWAGEN1 (5.9%)
9
CHRYSLER1 (5.9%)
10
HD1 (5.9%)

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

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

Sex Distribution (18 persons with recorded sex)

Male10 (55.6%)
-54.5%prior 22
Female8 (44.4%)
-55.6%prior 18

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 the 35 mph speed zone saw a significant decrease, falling from 12 crashes in April 2024 to 4 crashes in April 2025. Crashes in higher speed zones of 45 mph (2 crashes) and 65 mph (1 crash) present in April 2024 were absent in April 2025. Conversely, crashes in lower speed zones like 10 mph increased from 1 to 2, and a crash occurred in the 15 mph zone in April 2025 where none did in April 2024, indicating a shift towards crashes occurring in lower speed environments.

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: CARVER, MA
  • Total crash records analyzed: 10
  • Total persons involved: 19
  • Total vehicles involved: 17

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). "CARVER, 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/carver/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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Carver, MA Crash Report — April 2025 | ThatCarHitMe.com