Monthly Traffic Safety Analysis

12 CRASHES IN
CARVER, MA
JULY 2023

All metrics benchmarked againstJuly 2022

July 2023 saw 12 crashes in CARVER, MA, a significant decrease from the 19 crashes recorded in July 2022, representing a 36.84% reduction. Total injuries also declined by 38.46%, from 13 to 8. A notable shift includes the emergence of 1 hit-and-run crash in July 2023, compared to none in the prior year.

12

-36.8%was 19

Total Crash Events

0

Persons Killed

8

-38.5%was 13

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 · 2023-07-01 to 2023-07-31 · Aggregate counts from crash, person, and vehicle records

Trend Summary

Overall, crash data for CARVER, MA indicates a downward trend year-over-year. Total crashes decreased by 36.84%, from 19 in July 2022 to 12 in July 2023. Concurrently, the total number of injuries also saw a substantial reduction of 38.46%, falling from 13 to 8.

1

Hit-and-Run Crashes — July 2023

8.3% hit-and-run rate this period vs 0.0% prior. Prior period: 0.

Vulnerable Road User Casualties

0

Cyclists Killed

Prior: 00.0%

0

Motorists Killed

Prior: 00.0%

1

Cyclists Injured

Prior: 0%

7

Motorists Injured

Prior: 13-46.2%

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2023-07-01 to 2023-07-31 · 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 Friday with 5 crashes in July 2022 to Thursday with 5 crashes in July 2023. The peak crash hour also changed, moving from 6 PM with 4 crashes in July 2022 to 11 PM with 2 crashes in July 2023. These changes suggest a shift in the timing of peak crash activity.

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2023-07-01 to 2023-07-31 · Crash date field aggregated by weekday

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2023-07-01 to 2023-07-31 · Crash time field aggregated by hour (0-23)

Crash Severity Breakdown

Fatal crashes remained at 0 in both July 2022 and July 2023. The proportion of crashes resulting in any injury (Serious, Minor, or Possible) decreased from 57.9% (11 out of 19 crashes) in July 2022 to 25% (3 out of 12 crashes) in July 2023. While the number of serious injury crashes remained at 1 in both periods, minor injury crashes decreased from 5 to 1, and possible injury crashes decreased from 5 to 1.

Outcome by Severity (Crash Events)

Serious Injury1serious injury crashes8.3%
0.0%prior 1
Minor Injury1minor injury crashes8.3%
-80.0%prior 5
Possible Injury1possible injury crashes8.3%
-80.0%prior 5
No Injury9no injury crashes75%
12.5%prior 8

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2023-07-01 to 2023-07-31 · KABCO injury classification scale

Severity Distribution (Crash Events)

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2023-07-01 to 2023-07-31 · Most severe injury per crash record

Top Contributing Factors

Inattention saw a substantial increase in count, rising from 1 crash in July 2022 to 5 crashes in July 2023, becoming the top contributing factor. Conversely, Failed to yield right of way, which was the leading factor with 4 crashes in July 2022, was not among the top factors in July 2023. The number of Fatigued/asleep crashes decreased from 2 to 1, while No improper driving remained consistent with 2 crashes in both periods.

Officer-Reported Primary Contributing Cause

Inattention5 (41.7%)
No improper driving2 (16.7%)
Fatigued/asleep1 (8.3%)
Followed too closely1 (8.3%)
Made an improper turn1 (8.3%)

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2023-07-01 to 2023-07-31 · Officer-reported primary contributory cause per crash

Road & Environmental Conditions

Weather data for July 2022 is unavailable, so a comparative analysis cannot be performed for this condition. For lighting conditions, crashes occurring in Daylight decreased from 15 in July 2022 to 9 in July 2023. Crashes in Dark - lighted roadway remained stable at 2 in both periods, while Dark - roadway not lighted incidents decreased from 2 to 1.

Weather

Clear10 (83.3%)
Cloudy2 (16.7%)

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2023-07-01 to 2023-07-31 · Weather condition at time of crash

Lighting

Daylight9 (75.0%)
-40.0%prior 15
Dark - roadway not lighted2 (16.7%)
Dark - lighted roadway1 (8.3%)

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2023-07-01 to 2023-07-31 · Lighting condition field

Vehicles & Demographics

Top Vehicle Makes (20 vehicles)

1
FORD7 (35%)
0.0%prior 7
2
TOYOTA3 (15%)
3
JEEP2 (10%)
4
CHEVROLET2 (10%)
5
MITS1 (5%)
6
VOLKSWAGEN1 (5%)
7
HD1 (5%)
8
HONDA1 (5%)
9
MAZDA1 (5%)

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2023-07-01 to 2023-07-31 · Vehicle unit records

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

Sex Distribution (25 persons with recorded sex)

Male13 (52.0%)
-18.8%prior 16
Female12 (48.0%)
-52.0%prior 25

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2023-07-01 to 2023-07-31 · Person-level records linked to crash events

Speed Limit Zones

Crashes in 35 mph zones decreased from 9 in July 2022 to 5 in July 2023, and 45 mph zones saw a decrease from 3 to 2 crashes. Crashes in 25 mph zones decreased from 3 to 2, and 30 mph zones decreased from 2 to 1. Notably, 2 crashes occurred in 40 mph zones in July 2023, a speed limit not present in the prior year's data, while crashes in 5 mph and 20 mph zones (1 each in July 2022) were absent in July 2023.

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2023-07-01 to 2023-07-31 · 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: 2023-07-01 through 2023-07-31
  • Report generated: June 21, 2026

Data Coverage

  • Reporting period: 2023-07-01 through 2023-07-31 (31 days)
  • Geographic scope: CARVER, MA
  • Total crash records analyzed: 12
  • Total persons involved: 27
  • 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: July 2023." Published June 21, 2026. Reporting period: 2023-07-01 to 2023-07-31. Data source: Massachusetts Crash Data (MassDOT CDV), Arcgis_yearly Open Data. Available at: https://thatcarhitme.com/crash-data/massachusetts/carver/july-2023-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 — July 2023 | ThatCarHitMe.com