Monthly Traffic Safety Analysis

14 CRASHES IN
CARVER, MA
MAY 2025

All metrics benchmarked againstMay 2024

In May 2025, CARVER experienced a decrease in total crashes, with 14 crashes compared to 18 crashes in May 2024, representing a 22.2% reduction. Total injuries also decreased from 8 to 6. Despite the overall reduction in crashes, the number of serious injuries increased from 1 to 2, indicating a higher severity in some incidents.

14

-22.2%was 18

Total Crash Events

0

Persons Killed

6

-25.0%was 8

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. 1 crash with unreported severity is not shown in the severity breakdown.

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2025-05-01 to 2025-05-31 · Aggregate counts from crash, person, and vehicle records

Trend Summary

Overall, crash data for CARVER shows a declining trend year-over-year, with total crashes decreasing by 22.2% from 18 in May 2024 to 14 in May 2025. Similarly, the total number of injuries decreased by 25% from 8 to 6 during the same period, while fatalities remained at 0 in both months.

1

Hit-and-Run Crashes — May 2025

7.1% hit-and-run rate this period vs 0.0% prior. Prior period: 0.

Vulnerable Road User Casualties

0

Motorists Killed

Prior: 00.0%

6

Motorists Injured

Prior: 8-25.0%

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2025-05-01 to 2025-05-31 · Mode classified from person records (driver/passenger → motorist; pedestrian; bicyclist → cyclist; in-line skater / unspecified → other)

When Crashes Happen

The temporal patterns for crashes in CARVER show some shifts year-over-year. While Friday remained the peak day for crashes, the count increased from 4 in May 2024 to 7 in May 2025. The peak hour for crashes shifted significantly from 4 PM with 3 crashes in May 2024 to 11 AM with 4 crashes in May 2025.

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2025-05-01 to 2025-05-31 · Crash date field aggregated by weekday

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2025-05-01 to 2025-05-31 · Crash time field aggregated by hour (0-23)

Crash Severity Breakdown

There were no fatal crashes in either May 2024 or May 2025. However, the distribution of injury severity changed, with serious injuries (Severity A) increasing from 1 crash (5.6% of total crashes) in May 2024 to 2 crashes (14.3% of total crashes) in May 2025. Conversely, minor injuries (Severity B) decreased from 3 crashes (16.7% of total crashes) to 1 crash (7.1% of total crashes) year-over-year.

Outcome by Severity (Crash Events)

Serious Injury2serious injury crashes14.3%
100.0%prior 1
Minor Injury1minor injury crashes7.1%
-66.7%prior 3
Possible Injury1possible injury crashes7.1%
0.0%prior 1
No Injury9no injury crashes64.3%
-30.8%prior 13

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2025-05-01 to 2025-05-31 · KABCO injury classification scale

Severity Distribution (Crash Events)

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2025-05-01 to 2025-05-31 · Most severe injury per crash record

Top Contributing Factors

The top contributing factor, 'No improper driving', decreased significantly from 5 crashes in May 2024 to 2 crashes in May 2025, a 60% reduction in count. 'Inattention' also saw a decrease from 4 crashes to 3 crashes, a 25% reduction in count. Notably, 'Driving too fast for conditions' and 'Exceeded authorized speed limit' emerged as contributing factors in May 2025 with 2 and 1 crash respectively, having not been present in the prior year's top factors.

Officer-Reported Primary Contributing Cause

Inattention3 (21.4%)
Driving too fast for conditions2 (14.3%)
No improper driving2 (14.3%)-60.0%prior 5
Other improper action2 (14.3%)
Exceeded authorized speed limit1 (7.1%)
Physical impairment1 (7.1%)
Fatigued/asleep1 (7.1%)
Glare1 (7.1%)

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2025-05-01 to 2025-05-31 · Officer-reported primary contributory cause per crash

Road & Environmental Conditions

Crashes occurring in 'Clear' weather conditions decreased from 11 in May 2024 to 9 in May 2025, while crashes during 'Rain' conditions increased from 3 to 4. The number of crashes on 'Dry' road surfaces decreased from 13 to 10, and on 'Wet' surfaces from 5 to 4. Daylight crashes also saw a reduction from 15 to 10, but crashes occurring in 'Dark - lighted roadway' conditions appeared in May 2025 with 2 incidents, where none were recorded in the prior period.

Weather

Clear9 (64.3%)
-18.2%prior 11
Rain2 (14.3%)
Rain/Rain2 (14.3%)
Cloudy1 (7.1%)

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2025-05-01 to 2025-05-31 · Weather condition at time of crash

Lighting

Daylight10 (71.4%)
-33.3%prior 15
Dark - lighted roadway2 (14.3%)
Dark - roadway not lighted2 (14.3%)

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2025-05-01 to 2025-05-31 · Lighting condition field

Road Surface

Dry10 (71.4%)
-23.1%prior 13
Wet4 (28.6%)
-20.0%prior 5

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2025-05-01 to 2025-05-31 · Road surface condition field

Vehicles & Demographics

Top Vehicle Makes (20 vehicles)

1
NISSAN4 (20%)
2
TOYOTA3 (15%)
-40.0%prior 5
3
FORD2 (10%)
4
JEEP1 (5%)
5
AUDI1 (5%)
6
RAM1 (5%)
7
SUBARU1 (5%)
8
SUZI1 (5%)
9
MAZDA1 (5%)
10
CHEVROLET1 (5%)

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2025-05-01 to 2025-05-31 · Vehicle unit records

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

Sex Distribution (20 persons with recorded sex)

Male14 (70.0%)
-12.5%prior 16
Female6 (30.0%)
-62.5%prior 16

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2025-05-01 to 2025-05-31 · Person-level records linked to crash events

Speed Limit Zones

Crashes in the 35 mph speed zone decreased from 8 in May 2024 to 3 in May 2025, and in the 45 mph zone from 5 to 2. There was an increase in crashes in the 25 mph zone, rising from 1 to 2, and new crash occurrences were noted in 10 mph (2 crashes), 15 mph (1 crash), and 60 mph (1 crash) zones in May 2025 that were not present in May 2024. Fatal crashes remained at 0 across all speed zones in both periods.

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2025-05-01 to 2025-05-31 · 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: 2025-05-01 through 2025-05-31
  • Report generated: June 21, 2026

Data Coverage

  • Reporting period: 2025-05-01 through 2025-05-31 (31 days)
  • Geographic scope: CARVER, MA
  • Total crash records analyzed: 14
  • 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). "CARVER, MA Crash Intelligence Report: May 2025." Published June 21, 2026. Reporting period: 2025-05-01 to 2025-05-31. Data source: Massachusetts Crash Data (MassDOT CDV), Arcgis_yearly Open Data. Available at: https://thatcarhitme.com/crash-data/massachusetts/carver/may-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 — May 2025 | ThatCarHitMe.com