Monthly Traffic Safety Analysis

5 CRASHES IN
CHESHIRE, MA
OCTOBER 2024

All metrics benchmarked againstOctober 2023

In October 2024, Cheshire experienced 5 crashes, a 29% decrease from the 7 crashes reported in October 2023. Despite this reduction in total crashes, the number of injuries increased significantly by 150%, rising from 2 injuries in the prior period to 5 injuries in the current period. Fatalities remained at 0 in both periods.

5

-28.6%was 7

Total Crash Events

0

Persons Killed

5

150.0%was 2

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 · 2024-10-01 to 2024-10-31 · Aggregate counts from crash, person, and vehicle records

Trend Summary

Overall, the number of crashes in Cheshire decreased by 29%, from 7 in October 2023 to 5 in October 2024, indicating a falling trend in crash frequency. However, the total number of injuries rose by 150%, from 2 to 5, suggesting an increase in injury severity per crash.

Vulnerable Road User Casualties

0

Pedestrians Killed

Prior: 00.0%

0

Motorists Killed

Prior: 00.0%

1

Pedestrians Injured

Prior: 0%

4

Motorists Injured

Prior: 2100.0%

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2024-10-01 to 2024-10-31 · 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 Thursday with 2 crashes in October 2023 to Wednesday with 3 crashes in October 2024. The peak hour also changed, moving from 5 p.m. with 2 crashes in the prior period to 9 p.m. with 1 crash in the current period, indicating a shift in the timing of crash occurrences.

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2024-10-01 to 2024-10-31 · Crash date field aggregated by weekday

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2024-10-01 to 2024-10-31 · Crash time field aggregated by hour (0-23)

Crash Severity Breakdown

There were no fatal crashes in either October 2023 or October 2024. The total number of injuries increased from 2 in the prior period to 5 in the current period. While October 2023 reported 1 serious injury crash, October 2024 saw 3 minor injury crashes and 1 possible injury crash, with the proportion of 'No Injury' crashes decreasing from 85.7% to 20%.

Outcome by Severity (Crash Events)

Minor Injury3minor injury crashes60%
Possible Injury1possible injury crashes20%
No Injury1no injury crashes20%
-83.3%prior 6

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2024-10-01 to 2024-10-31 · KABCO injury classification scale

Severity Distribution (Crash Events)

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2024-10-01 to 2024-10-31 · Most severe injury per crash record

Top Contributing Factors

The contributing factor 'Failure to keep in proper lane or running off road' increased by 100% in count, rising from 1 crash in October 2023 to 2 crashes in October 2024. Conversely, 'No improper driving' decreased by 50% in count, from 2 crashes to 1 crash. Factors like 'Glare' (1 crash) and 'Swerving or avoiding...' (1 crash) appeared in the current period, while 'Distracted' (1 crash), 'Emotional' (1 crash), 'Fatigued/asleep' (1 crash), and 'Other improper action' (1 crash) were present in the prior period but not the current.

Officer-Reported Primary Contributing Cause

Failure to keep in proper lane or running off road2 (40%)
Glare1 (20%)
No improper driving1 (20%)
Swerving or avoiding due to wind, slippery surface, vehicle, object, vulnerable user in roadway1 (20%)

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2024-10-01 to 2024-10-31 · Officer-reported primary contributory cause per crash

Road & Environmental Conditions

The number of crashes occurring in 'Daylight' conditions decreased from 4 in October 2023 to 2 in October 2024. Crashes in 'Dark - lighted roadway' conditions doubled, increasing from 1 to 2. There was 1 crash in 'Dark - roadway not lighted' conditions in both periods.

Lighting

Dark - lighted roadway2 (40.0%)
Daylight2 (40.0%)
Dark - roadway not lighted1 (20.0%)

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2024-10-01 to 2024-10-31 · Lighting condition field

Vehicles & Demographics

Top Vehicle Makes (8 vehicles)

1
HONDA2 (25%)
2
CHEVROLET1 (12.5%)
3
DODGE1 (12.5%)
4
BUIC1 (12.5%)
5
NISSAN1 (12.5%)
6
PETERBILT1 (12.5%)
7
FORD1 (12.5%)

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2024-10-01 to 2024-10-31 · Vehicle unit records

Sex Distribution (10 persons with recorded sex)

Male8 (80.0%)
166.7%prior 3
Female2 (20.0%)
-75.0%prior 8

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2024-10-01 to 2024-10-31 · Person-level records linked to crash events

Speed Limit Zones

Crashes occurring in 30 mph and 40 mph speed zones remained constant with 1 crash each in both periods. The 50 mph speed zone saw a decrease from 2 crashes in October 2023 to 1 crash in October 2024. Crashes in 5 mph and 45 mph zones, which accounted for 3 crashes in the prior period, were absent in the current period, while 2 crashes occurred in a 35 mph zone in the current period, a zone not present in the prior data.

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2024-10-01 to 2024-10-31 · 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: 2024-10-01 through 2024-10-31
  • Report generated: June 21, 2026

Data Coverage

  • Reporting period: 2024-10-01 through 2024-10-31 (31 days)
  • Geographic scope: CHESHIRE, MA
  • Total crash records analyzed: 5
  • Total persons involved: 10
  • 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: October 2024." Published June 21, 2026. Reporting period: 2024-10-01 to 2024-10-31. Data source: Massachusetts Crash Data (MassDOT CDV), Arcgis_yearly Open Data. Available at: https://thatcarhitme.com/crash-data/massachusetts/cheshire/october-2024-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

ThatCarHitMe.com · An Injuria.ai Company

Cheshire, MA Crash Report — October 2024 | ThatCarHitMe.com