Monthly Traffic Safety Analysis

5 CRASHES IN
CHESHIRE, MA
AUGUST 2025

All metrics benchmarked againstAugust 2024

CHESHIRE experienced a decrease in total crashes, from 7 in August 2024 to 5 in August 2025, representing a 28.6% reduction. A notable positive shift is the complete absence of injuries in August 2025, compared to 6 injuries reported in the prior year. Conversely, hit-and-run incidents increased from 1 to 2, and DUI crashes rose from 0 to 2 during the same period.

5

-28.6%was 7

Total Crash Events

0

Persons Killed

0

-100.0%was 6

Persons Injured

2

100.0%was 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. 5 crashes with unreported severity are not shown in the severity breakdown.

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2025-08-01 to 2025-08-31 · Aggregate counts from crash, person, and vehicle records

Trend Summary

Overall, crashes in CHESHIRE decreased by 28.6% year-over-year, falling from 7 crashes in August 2024 to 5 crashes in August 2025. This reduction also coincided with a significant decrease in total injuries, from 6 to 0, indicating a positive trend in crash severity.

2

Hit-and-Run Crashes — August 2025

100.0% vs prior (1)

Hit-and-run crashes increased from 1 in August 2024 to 2 in August 2025. This change resulted in the hit-and-run rate rising significantly from 14.3% in the prior period to 40% in the current period, indicating an upward trend in these types of incidents.

When Crashes Happen

The peak day for crashes shifted from Friday in August 2024, which recorded 4 crashes, to Wednesday in August 2025, with 2 crashes. The peak hour for crashes also changed, moving from 8 AM with 2 crashes in the prior period to 8 PM with 1 crash in the current period.

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2025-08-01 to 2025-08-31 · Crash date field aggregated by weekday

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2025-08-01 to 2025-08-31 · Crash time field aggregated by hour (0-23)

Top Contributing Factors

The factor 'No improper driving' increased in count from 1 in August 2024 to 2 in August 2025, with its share rising from 14.3% to 40%. Conversely, 'Inattention' decreased from 2 crashes in the prior period to 1 crash in the current period, representing a 50% decrease in count. New factors appearing in August 2025 include 'Exceeded authorized speed limit' and 'Physical impairment,' each contributing to 1 crash.

Officer-Reported Primary Contributing Cause

No improper driving2 (40%)
Exceeded authorized speed limit1 (20%)
Inattention1 (20%)
Physical impairment1 (20%)

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2025-08-01 to 2025-08-31 · Officer-reported primary contributory cause per crash

Road & Environmental Conditions

In August 2025, all 5 crashes occurred under 'Clear' or 'Clear/Clear' weather conditions, a shift from August 2024 where 2 crashes occurred in 'Cloudy/Rain' conditions and 3 in 'Cloudy' conditions. Information regarding lighting conditions was only available for August 2025, with 3 crashes in 'Daylight' and 2 in 'Dark - lighted roadway'. Road surface conditions were only reported for August 2024, showing 5 crashes on 'Dry' roads and 2 on 'Wet' roads.

Weather

Clear3 (60.0%)
Clear/Clear2 (40.0%)

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2025-08-01 to 2025-08-31 · Weather condition at time of crash

Lighting

Daylight3 (60.0%)
Dark - lighted roadway2 (40.0%)

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2025-08-01 to 2025-08-31 · Lighting condition field

Vehicles & Demographics

Top Vehicle Makes (10 vehicles)

1
CHEVROLET1 (10%)
2
FORD1 (10%)
3
HONDA1 (10%)
4
BUIC1 (10%)
5
RAM1 (10%)
6
TESLA MOTORS1 (10%)
7
TOYOTA1 (10%)
8
HYUNDAI1 (10%)

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2025-08-01 to 2025-08-31 · Vehicle unit records

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

Sex Distribution (8 persons with recorded sex)

Female4 (50.0%)
300.0%prior 1
Male4 (50.0%)
-60.0%prior 10

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2025-08-01 to 2025-08-31 · Person-level records linked to crash events

Speed Limit Zones

Crashes at 35 mph decreased from 3 in August 2024 to 2 in August 2025. While August 2024 reported 2 crashes at 25 mph and 2 at 45 mph, August 2025 saw 2 crashes at 30 mph and 1 crash at 50 mph, indicating a slight shift towards higher speed zones for some incidents. No fatalities were reported in any speed zone during either period.

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2025-08-01 to 2025-08-31 · 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: 2025-08-01 through 2025-08-31
  • Report generated: June 21, 2026

Data Coverage

  • Reporting period: 2025-08-01 through 2025-08-31 (31 days)
  • Geographic scope: CHESHIRE, MA
  • Total crash records analyzed: 5
  • Total persons involved: 11
  • Total vehicles involved: 10

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: August 2025." Published June 21, 2026. Reporting period: 2025-08-01 to 2025-08-31. Data source: Massachusetts Crash Data (MassDOT CDV), Arcgis_yearly Open Data. Available at: https://thatcarhitme.com/crash-data/massachusetts/cheshire/august-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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Cheshire, MA Crash Report — August 2025 | ThatCarHitMe.com