Monthly Traffic Safety Analysis

20 CRASHES IN
CARVER, MA
DECEMBER 2023

All metrics benchmarked againstDecember 2022

In December 2023, Carver experienced 20 total crashes, an increase from 17 crashes in December 2022, representing a 17.65% rise. Total injuries also increased by 75%, from 4 to 7. A notable shift was the appearance of 2 serious injuries (severity A) in December 2023, compared to none in the prior year.

20

17.6%was 17

Total Crash Events

0

Persons Killed

7

75.0%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. 1 crash with unreported severity is not shown in the severity breakdown.

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2023-12-01 to 2023-12-31 · Aggregate counts from crash, person, and vehicle records

Trend Summary

Overall, crash data for December 2023 indicates an upward trend compared to December 2022. Total crashes increased by 17.65%, from 17 to 20. Concurrently, total injuries rose by 75%, from 4 to 7, while fatalities remained at zero in both periods.

1

Hit-and-Run Crashes — December 2023

5.0% hit-and-run rate this period vs 0.0% prior. Prior period: 0.

Vulnerable Road User Casualties

0

Motorists Killed

Prior: 00.0%

7

Motorists Injured

Prior: 475.0%

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2023-12-01 to 2023-12-31 · Mode classified from person records (driver/passenger → motorist; pedestrian; bicyclist → cyclist; in-line skater / unspecified → other)

When Crashes Happen

The peak day for crashes remained Thursday in both periods, with 5 crashes each. However, the peak hour shifted from 4 PM in December 2022 to 5 PM in December 2023, both with 3 crashes. There were shifts in daily distribution, with Tuesdays increasing from 1 to 5 crashes and Mondays decreasing from 3 to 0 crashes.

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2023-12-01 to 2023-12-31 · Crash date field aggregated by weekday

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2023-12-01 to 2023-12-31 · Crash time field aggregated by hour (0-23)

Crash Severity Breakdown

Fatalities remained at zero in both December 2023 and December 2022. However, total injuries increased by 75%, from 4 to 7. Specifically, serious injuries (severity A) rose from 0 in December 2022 to 2 in December 2023, while minor injuries (severity B) decreased from 3 to 2, and possible injuries (severity C) increased from 1 to 2.

Outcome by Severity (Crash Events)

Serious Injury2serious injury crashes10%
Minor Injury2minor injury crashes10%
-33.3%prior 3
Possible Injury2possible injury crashes10%
100.0%prior 1
No Injury13no injury crashes65%
8.3%prior 12

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2023-12-01 to 2023-12-31 · KABCO injury classification scale

Severity Distribution (Crash Events)

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2023-12-01 to 2023-12-31 · Most severe injury per crash record

Top Contributing Factors

The contributing factor 'No improper driving' decreased from 6 crashes in December 2022 to 5 crashes in December 2023. 'Failed to yield right of way' increased by 1 crash, from 3 to 4, and 'Failure to keep in proper lane or running off road' also increased by 1 crash, from 1 to 2. Factors such as 'Illness', 'Operating vehicle in erratic, reckless, careless, negligent or aggressive manner', 'Followed too closely', and 'Glare' appeared in December 2023 with 1 crash each, while not present in December 2022.

Officer-Reported Primary Contributing Cause

No improper driving5 (25%)-16.7%prior 6
Failed to yield right of way4 (20%)
Inattention2 (10%)
Failure to keep in proper lane or running off road2 (10%)
Illness1 (5%)
Operating vehicle in erratic, reckless, careless, negligent or aggressive manner1 (5%)
Disregarded traffic signs, signals, road markings1 (5%)
Other improper action1 (5%)
Driving too fast for conditions1 (5%)
Followed too closely1 (5%)

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2023-12-01 to 2023-12-31 · Officer-reported primary contributory cause per crash

Road & Environmental Conditions

Regarding weather conditions, crashes in 'Clear' conditions increased from 10 to 11, and 'Cloudy' conditions increased from 2 to 3. For lighting, 'Daylight' crashes rose from 6 to 11, while 'Dark - lighted roadway' crashes decreased from 5 to 3. On road surfaces, 'Dry' conditions saw an increase from 11 to 14 crashes, and 'Wet' conditions decreased from 6 to 4 crashes.

Weather

Clear11 (57.9%)
10.0%prior 10
Cloudy3 (15.8%)
Cloudy/Fog, smog, smoke1 (5.3%)
Cloudy/Snow1 (5.3%)
Rain1 (5.3%)
Snow/Clear1 (5.3%)
Clear/Cloudy1 (5.3%)

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2023-12-01 to 2023-12-31 · Weather condition at time of crash

Lighting

Daylight11 (55.0%)
83.3%prior 6
Dark - roadway not lighted4 (20.0%)
Dark - lighted roadway3 (15.0%)
-40.0%prior 5
Dusk2 (10.0%)

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2023-12-01 to 2023-12-31 · Lighting condition field

Road Surface

Dry14 (70.0%)
27.3%prior 11
Wet4 (20.0%)
-33.3%prior 6
Ice1 (5.0%)
Snow1 (5.0%)

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2023-12-01 to 2023-12-31 · Road surface condition field

Vehicles & Demographics

Top Vehicle Makes (33 vehicles)

1
FORD6 (18.2%)
2
TOYOTA5 (15.2%)
3
JEEP5 (15.2%)
4
CHEVROLET3 (9.1%)
-62.5%prior 8
5
VOLKSWAGEN2 (6.1%)
6
GMC2 (6.1%)
7
KIA1 (3%)
8
LINC1 (3%)
9
MAZDA1 (3%)
10
MERCEDES-BENZ1 (3%)

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2023-12-01 to 2023-12-31 · Vehicle unit records

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

Sex Distribution (39 persons with recorded sex)

Male24 (61.5%)
84.6%prior 13
Female15 (38.5%)
-11.8%prior 17

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2023-12-01 to 2023-12-31 · Person-level records linked to crash events

Speed Limit Zones

Crashes in 25 mph speed zones decreased from 4 in December 2022 to 2 in December 2023. Conversely, crashes in 35 mph zones increased from 7 to 9, and 65 mph zones increased from 2 to 4. Additionally, 45 mph and 60 mph zones, which had no crashes in December 2022, reported 4 and 1 crash respectively in December 2023.

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2023-12-01 to 2023-12-31 · 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: 2023-12-01 through 2023-12-31
  • Report generated: June 21, 2026

Data Coverage

  • Reporting period: 2023-12-01 through 2023-12-31 (31 days)
  • Geographic scope: CARVER, MA
  • Total crash records analyzed: 20
  • Total persons involved: 41
  • Total vehicles involved: 33

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: December 2023." Published June 21, 2026. Reporting period: 2023-12-01 to 2023-12-31. Data source: Massachusetts Crash Data (MassDOT CDV), Arcgis_yearly Open Data. Available at: https://thatcarhitme.com/crash-data/massachusetts/carver/december-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 — December 2023 | ThatCarHitMe.com