Monthly Traffic Safety Analysis

8 CRASHES IN
DEERFIELD, MA
JULY 2025

All metrics benchmarked againstJuly 2024

In July 2025, Deerfield experienced 8 crashes, a 33.33% increase compared to 6 crashes in July 2024. A notable shift is the increase in total fatalities from 0 in the prior period to 1 in the current period. Total injuries also rose significantly, from 1 to 6 year-over-year.

8

33.3%was 6

Total Crash Events

1

Persons Killed

6

500.0%was 1

Persons Injured

1

Fatal Crash Events

Note: "Persons Killed" (1) counts individual fatalities across all crash events. "Fatal" in the severity table below (1) 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 · 2025-07-01 to 2025-07-31 · Aggregate counts from crash, person, and vehicle records

Trend Summary

Overall, crash data for July 2025 indicates an upward trend in crash activity compared to July 2024. Total crashes increased by 33.33%, rising from 6 to 8. This period also saw a significant increase in fatalities, with 1 fatality in July 2025 compared to 0 in July 2024.

Vulnerable Road User Casualties

1

Motorists Killed

Prior: 0%

6

Motorists Injured

Prior: 1500.0%

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2025-07-01 to 2025-07-31 · Mode classified from person records (driver/passenger → motorist; pedestrian; bicyclist → cyclist; in-line skater / unspecified → other)

When Crashes Happen

The temporal distribution of crashes shifted year-over-year, with the peak day moving from Wednesday (2 crashes) in July 2024 to Friday (2 crashes) in July 2025. Similarly, the peak crash hour changed from 8p (2 crashes) in the prior period to 3p (2 crashes) in the current period. Monday and Thursday also saw increased activity in the current period, each with 2 crashes compared to 0 and 1 respectively in the prior period.

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2025-07-01 to 2025-07-31 · Crash date field aggregated by weekday

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2025-07-01 to 2025-07-31 · Crash time field aggregated by hour (0-23)

Crash Severity Breakdown

The severity profile of crashes significantly worsened in July 2025 compared to July 2024. The fatal crash rate increased from 0% in the prior period to 12.5% in the current period, with 1 fatal crash recorded. Minor injury crashes accounted for 25% of crashes in July 2025, up from 16.7% in July 2024.

Outcome by Severity (Crash Events)

Fatal1fatal crashes12.5%
Minor Injury2minor injury crashes25%
100.0%prior 1
No Injury5no injury crashes62.5%
0.0%prior 5

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2025-07-01 to 2025-07-31 · KABCO injury classification scale

Severity Distribution (Crash Events)

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2025-07-01 to 2025-07-31 · Most severe injury per crash record

Top Contributing Factors

The distribution of contributing factors shifted considerably between the two periods. Crashes attributed to 'No improper driving' decreased from 5 in July 2024 to 2 in July 2025. Several factors emerged in July 2025 that were not present in the prior period, including 'Driving too fast for conditions' (1 crash), 'Exceeded authorized speed limit' (1 crash), 'Distracted' (1 crash), 'Inattention' (1 crash), and 'Failed to yield right of way' (1 crash). Conversely, 'Swerving or avoiding due to wind, slippery surface, vehicle, object, vulnerable user in roadway' was a factor in 1 crash in July 2024 but was not present in July 2025.

Officer-Reported Primary Contributing Cause

No improper driving2 (25%)-60.0%prior 5
Driving too fast for conditions1 (12.5%)
Exceeded authorized speed limit1 (12.5%)
Distracted1 (12.5%)
Inattention1 (12.5%)
Failed to yield right of way1 (12.5%)

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2025-07-01 to 2025-07-31 · Officer-reported primary contributory cause per crash

Road & Environmental Conditions

Weather

Clear4 (50.0%)
Cloudy2 (25.0%)
Clear/Clear1 (12.5%)
Rain1 (12.5%)

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2025-07-01 to 2025-07-31 · Weather condition at time of crash

Road Surface

Dry6 (75.0%)
Wet2 (25.0%)

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2025-07-01 to 2025-07-31 · Road surface condition field

Vehicles & Demographics

Top Vehicle Makes (12 vehicles)

1
FORD2 (16.7%)
2
AUDI1 (8.3%)
3
BENT1 (8.3%)
4
CHEVROLET1 (8.3%)
5
HONDA1 (8.3%)
6
HYUNDAI1 (8.3%)
7
JEEP1 (8.3%)
8
MAZDA1 (8.3%)
9
SAA1 (8.3%)
10
ACURA1 (8.3%)

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2025-07-01 to 2025-07-31 · Vehicle unit records

Sex Distribution (19 persons with recorded sex)

Male10 (52.6%)
150.0%prior 4
Female9 (47.4%)
350.0%prior 2

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2025-07-01 to 2025-07-31 · Person-level records linked to crash events

Speed Limit Zones

The distribution of crashes across speed zones changed significantly year-over-year. Crashes in the 65 mph zone remained constant at 2 in both periods, with no fatalities. In July 2025, 3 crashes occurred in the 35 mph zone and 3 crashes occurred in the 40 mph zone, with the 40 mph zone recording 1 fatal crash. In contrast, July 2024 saw crashes in the 5 mph, 45 mph, and 50 mph zones, which were not present in the current period.

Fatal crashes by zone: 40 mph: 1 of 3 (33.333%)

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2025-07-01 to 2025-07-31 · 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: 2025-07-01 through 2025-07-31
  • Report generated: June 21, 2026

Data Coverage

  • Reporting period: 2025-07-01 through 2025-07-31 (31 days)
  • Geographic scope: DEERFIELD, MA
  • Total crash records analyzed: 8
  • Total persons involved: 19
  • Total vehicles involved: 12

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). "DEERFIELD, MA Crash Intelligence Report: July 2025." Published June 21, 2026. Reporting period: 2025-07-01 to 2025-07-31. Data source: Massachusetts Crash Data (MassDOT CDV), Arcgis_yearly Open Data. Available at: https://thatcarhitme.com/crash-data/massachusetts/deerfield/july-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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Deerfield, MA Crash Report — July 2025 | ThatCarHitMe.com