Monthly Traffic Safety Analysis

15 CRASHES IN
WILBRAHAM, MA
AUGUST 2025

All metrics benchmarked againstAugust 2024

Total crashes in Wilbraham decreased from 18 in August of the prior year to 15 in August of the current year, representing a 16.7% reduction. This period saw a notable shift in contributing factors, with "No improper driving" becoming the most frequent factor, increasing from 3 to 5 crashes, while "Inattention" decreased significantly from 5 to 2 crashes. The peak day for crashes also shifted from Monday to Thursday, and the peak hour moved from 6 PM to 11 AM.

15

-16.7%was 18

Total Crash Events

0

Persons Killed

5

25.0%was 4

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.

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, crash incidents in August show a downward trend year-over-year, decreasing from 18 crashes in the prior period to 15 crashes in the current period. This represents a 16.7% reduction in total crashes. Fatalities remained at 0 in both periods, while total injuries saw a slight increase from 4 to 5.

1

Hit-and-Run Crashes — August 2025

0.0% vs prior (1)

The number of hit-and-run crashes remained constant at 1 in both the current and prior August periods. However, the hit-and-run rate, as a percentage of total crashes, increased from 5.6% in the prior period to 6.7% in the current period.

Vulnerable Road User Casualties

0

Motorists Killed

Prior: 00.0%

5

Motorists Injured

Prior: 425.0%

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2025-08-01 to 2025-08-31 · 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. The peak day for crashes moved from Monday, with 6 crashes in the prior period, to Thursday, with 4 crashes in the current period. Similarly, the peak hour for crashes shifted from 6 PM, with 3 crashes in the prior period, to 11 AM, also with 3 crashes 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)

Crash Severity Breakdown

Fatalities remained at 0 in both the current and prior August periods. Total injuries increased slightly from 4 in the prior period to 5 in the current period. The number of serious injuries remained constant at 1, while possible injuries increased from 1 to 2.

Outcome by Severity (Crash Events)

Serious Injury1serious injury crashes6.7%
0.0%prior 1
Minor Injury2minor injury crashes13.3%
0.0%prior 2
Possible Injury2possible injury crashes13.3%
100.0%prior 1
No Injury10no injury crashes66.7%
-23.1%prior 13

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2025-08-01 to 2025-08-31 · KABCO injury classification scale

Severity Distribution (Crash Events)

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2025-08-01 to 2025-08-31 · Most severe injury per crash record

Top Contributing Factors

The distribution of contributing factors changed notably year-over-year. "No improper driving" increased by 66.7%, from 3 crashes to 5 crashes, becoming the most frequent factor in the current period. Conversely, "Inattention" decreased by 60%, from 5 crashes to 2 crashes. "Failed to yield right of way" and "Failure to keep in proper lane or running off road" both increased by 100%, from 1 crash to 2 crashes each.

Officer-Reported Primary Contributing Cause

No improper driving5 (33.3%)
Inattention2 (13.3%)-60.0%prior 5
Failed to yield right of way2 (13.3%)
Failure to keep in proper lane or running off road2 (13.3%)
Physical impairment1 (6.7%)
Distracted1 (6.7%)
Operating vehicle in erratic, reckless, careless, negligent or aggressive manner1 (6.7%)
Disregarded traffic signs, signals, road markings1 (6.7%)

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

Crashes occurring in clear weather conditions decreased from 14 in the prior period to 13 in the current period. Crashes on wet road surfaces decreased significantly from 5 to 1. Crashes occurring in daylight decreased from 16 to 10, while those in "Dark - lighted roadway" conditions increased from 1 to 3.

Weather

Clear13 (86.7%)
-7.1%prior 14
Clear/Other1 (6.7%)
Rain/Cloudy1 (6.7%)

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

Lighting

Daylight10 (71.4%)
-37.5%prior 16
Dark - lighted roadway3 (21.4%)
Dawn1 (7.1%)

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

Road Surface

Dry14 (93.3%)
7.7%prior 13
Wet1 (6.7%)
-80.0%prior 5

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

Vehicles & Demographics

Top Vehicle Makes (26 vehicles)

1
TOYOTA7 (26.9%)
16.7%prior 6
2
CHEVROLET3 (11.5%)
3
FORD3 (11.5%)
4
SUBARU2 (7.7%)
5
HONDA2 (7.7%)
6
LEXUS1 (3.8%)
7
PONT1 (3.8%)
8
BMW1 (3.8%)
9
VERM1 (3.8%)
10
BUIC1 (3.8%)

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

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

Sex Distribution (23 persons with recorded sex)

Male15 (65.2%)
-28.6%prior 21
Female8 (34.8%)
-46.7%prior 15

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 in 35 mph speed zones decreased from 9 in the prior period to 7 in the current period. There was an increase in crashes in 20 mph zones, from 0 to 3. The prior period recorded crashes in higher speed zones such as 40 mph, 45 mph, 55 mph, and 65 mph, which were not present in the current period's data.

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: WILBRAHAM, MA
  • Total crash records analyzed: 15
  • Total persons involved: 28
  • Total vehicles involved: 26

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). "WILBRAHAM, 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/wilbraham/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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Wilbraham, MA Crash Report — August 2025 | ThatCarHitMe.com