Monthly Traffic Safety Analysis

5 CRASHES IN
CHESHIRE, MA
DECEMBER 2023

All metrics benchmarked againstDecember 2022

In December 2023, CHESHIRE experienced 5 crashes, a 16.67% decrease compared to the 6 crashes reported in December 2022. Total injuries remained stable at 3 across both periods, and no fatalities were reported in either month. A notable shift is the emergence of 1 DUI-related crash in December 2023, compared to none in the prior year.

5

-16.7%was 6

Total Crash Events

0

Persons Killed

3

Persons Injured

0

Fatal Crash Events

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 · 2023-12-01 to 2023-12-31 · Aggregate counts from crash, person, and vehicle records

Trend Summary

Overall, crashes in CHESHIRE decreased by 16.67% year-over-year, from 6 crashes in December 2022 to 5 crashes in December 2023. Despite this reduction in total crashes, the number of injuries remained stable at 3 in both periods, and there were no reported fatalities in either December.

Vulnerable Road User Casualties

0

Motorists Killed

Prior: 00.0%

3

Motorists Injured

Prior: 30.0%

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 shifted from Friday, with 4 crashes in December 2022, to Thursday and Saturday, each with 2 crashes in December 2023. Similarly, the peak crash hour moved from 8 PM in December 2022 to 11 PM in December 2023, both periods recording 1 crash at their respective peak hours. The distribution of crashes across days and hours appears more varied in the current period.

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 0 in both December 2022 and December 2023. The number of minor injury crashes remained stable at 2, but their share of total crashes increased from 33.3% in December 2022 to 40% in December 2023 due to the overall decrease in crash volume. No-injury crashes decreased in count from 4 to 3, with their share decreasing from 66.7% to 60%.

Outcome by Severity (Crash Events)

Minor Injury2minor injury crashes40%
0.0%prior 2
No Injury3no injury crashes60%
-25.0%prior 4

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 'Operating vehicle in erratic, reckless, careless, negligent or aggressive manner' increased from 1 crash in December 2022 to 2 crashes in December 2023. 'No improper driving' was associated with 2 crashes in December 2023, while it was not a top factor in December 2022. Factors such as 'Inattention' (2 crashes) and 'Distracted' (1 crash) were present in December 2022 but did not appear among the top factors in December 2023.

Officer-Reported Primary Contributing Cause

No improper driving2 (40%)
Operating vehicle in erratic, reckless, careless, negligent or aggressive manner2 (40%)
Exceeded authorized speed limit1 (20%)

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

Crashes occurring in daylight decreased from 4 in December 2022 to 2 in December 2023. Crashes on dry road surfaces increased from 2 in December 2022 to 4 in December 2023, while crashes on snowy (3 crashes) and slushy (1 crash) surfaces, present in December 2022, were not reported in December 2023. Data on weather conditions was not available for December 2023.

Lighting

Daylight2 (40.0%)
Dark - lighted roadway1 (20.0%)
Dark - roadway not lighted1 (20.0%)
Dark - unknown roadway lighting1 (20.0%)

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

Road Surface

Dry4 (80.0%)
Wet1 (20.0%)

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 (8 vehicles)

1
HONDA3 (37.5%)
2
TOYOTA2 (25%)
3
JEEP1 (12.5%)
4
NISSAN1 (12.5%)
5
RAM1 (12.5%)

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

Sex Distribution (8 persons with recorded sex)

Female4 (50.0%)
-42.9%prior 7
Male4 (50.0%)
0.0%prior 4

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 the 30 mph zone decreased from 2 in December 2022 to 1 in December 2023, and crashes in the 35 mph zone also decreased from 2 to 1. In December 2023, a crash occurred in a 20 mph zone and another in a 50 mph zone, neither of which were observed in December 2022. All reported crashes in both periods occurred in zones with a 0% fatal rate.

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: CHESHIRE, MA
  • Total crash records analyzed: 5
  • Total persons involved: 9
  • Total vehicles involved: 8

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). "CHESHIRE, 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/cheshire/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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Cheshire, MA Crash Report — December 2023 | ThatCarHitMe.com