Monthly Traffic Safety Analysis

4 CRASHES IN
CHESHIRE, MA
APRIL 2026

All metrics benchmarked againstApril 2025

In April 2026, Cheshire recorded 4 crashes, a decrease of 42.86% compared to the 7 crashes reported in April 2025. A notable year-over-year shift is the complete absence of injuries in April 2026, down from 3 injuries in the prior period.

4

-42.9%was 7

Total Crash Events

0

Persons Killed

0

-100.0%was 3

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. 4 crashes with unreported severity are not shown in the severity breakdown.

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2026-04-01 to 2026-04-30 · Aggregate counts from crash, person, and vehicle records

Trend Summary

The overall trend indicates a significant decrease in crash activity year-over-year. Total crashes fell by 42.86%, from 7 in April 2025 to 4 in April 2026. Concurrently, total injuries decreased from 3 to 0, representing a 100% reduction.

1

Hit-and-Run Crashes — April 2026

0.0% vs prior (1)

The number of hit-and-run crashes remained stable at 1 crash in both April 2025 and April 2026. However, the hit-and-run rate increased from 14.3% of total crashes in April 2025 to 25% in April 2026, indicating an upward trend in the proportion of crashes involving a hit-and-run.

When Crashes Happen

The peak day for crashes shifted from Saturday with 3 crashes in April 2025 to Monday with 2 crashes in April 2026. The peak hour also changed, moving from 12p with 2 crashes in April 2025 to 8a with 2 crashes in April 2026.

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2026-04-01 to 2026-04-30 · Crash date field aggregated by weekday

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2026-04-01 to 2026-04-30 · Crash time field aggregated by hour (0-23)

Top Contributing Factors

The number of crashes attributed to 'No improper driving' remained consistent at 2 crashes in both April 2025 and April 2026. Factors like 'Failure to keep in proper lane or running off road' and 'Inattention', each accounting for 2 crashes in April 2025, were not among the top contributing factors in April 2026. Conversely, 'Fatigued/asleep' and 'Made an improper turn' each contributed to 1 crash in April 2026, but were not listed as top factors in April 2025.

Officer-Reported Primary Contributing Cause

No improper driving2 (50%)
Fatigued/asleep1 (25%)
Made an improper turn1 (25%)

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2026-04-01 to 2026-04-30 · Officer-reported primary contributory cause per crash

Road & Environmental Conditions

Crashes occurring under 'Cloudy' weather conditions increased from 1 in April 2025 to 2 in April 2026, while crashes under 'Clear' conditions decreased from 3 to 1. Conditions such as 'Snow' and 'Snow/Sleet, hail' which accounted for a combined 2 crashes in April 2025, were not present in April 2026. Regarding lighting, crashes in 'Daylight' decreased from 6 to 3, and 'Dark - roadway not lighted' appeared in April 2026 with 1 crash, whereas 'Dusk' was present in April 2025 with 1 crash.

Weather

Cloudy2 (50.0%)
Clear1 (25.0%)
Clear/Clear1 (25.0%)

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2026-04-01 to 2026-04-30 · Weather condition at time of crash

Lighting

Daylight3 (75.0%)
-50.0%prior 6
Dark - roadway not lighted1 (25.0%)

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2026-04-01 to 2026-04-30 · Lighting condition field

Vehicles & Demographics

Top Vehicle Makes (7 vehicles)

1
TOYOTA2 (28.6%)
2
CHEVROLET1 (14.3%)
3
LINC1 (14.3%)
4
NISSAN1 (14.3%)

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2026-04-01 to 2026-04-30 · Vehicle unit records

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

Sex Distribution (5 persons with recorded sex)

Male3 (60.0%)
-40.0%prior 5
Female2 (40.0%)
-75.0%prior 8

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2026-04-01 to 2026-04-30 · Person-level records linked to crash events

Speed Limit Zones

Crashes in 35 mph zones decreased from 3 in April 2025 to 2 in April 2026, and crashes in 40 mph zones decreased from 3 to 1. Crashes in 30 mph zones, which accounted for 1 crash in April 2025, were not recorded in April 2026. Conversely, 1 crash occurred in a 45 mph zone in April 2026, a speed zone not listed for crashes in April 2025.

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2026-04-01 to 2026-04-30 · 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: 2026-04-01 through 2026-04-30
  • Report generated: June 21, 2026

Data Coverage

  • Reporting period: 2026-04-01 through 2026-04-30 (30 days)
  • Geographic scope: CHESHIRE, MA
  • Total crash records analyzed: 4
  • Total persons involved: 8
  • Total vehicles involved: 7

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: April 2026." Published June 21, 2026. Reporting period: 2026-04-01 to 2026-04-30. Data source: Massachusetts Crash Data (MassDOT CDV), Arcgis_yearly Open Data. Available at: https://thatcarhitme.com/crash-data/massachusetts/cheshire/april-2026-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 — April 2026 | ThatCarHitMe.com