Monthly Traffic Safety Analysis

41 CRASHES IN
WESTFIELD, MA
AUGUST 2025

All metrics benchmarked againstAugust 2024

Total crashes in WESTFIELD, MA decreased by 10.87%, from 46 in August 2024 to 41 in August 2025. While overall crashes declined, there was a notable increase in hit-and-run incidents, rising from 0 in the prior period to 3 in the current period. This shift represents a new challenge in traffic safety for the city.

41

-10.9%was 46

Total Crash Events

0

Persons Killed

24

-11.1%was 27

Persons Injured

3

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. 1 crash with unreported severity is 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, crash trends in WESTFIELD, MA show a decrease year-over-year, with total crashes falling from 46 in August 2024 to 41 in August 2025. This represents a 10.87% reduction in the number of crash events. Total injuries also decreased, from 27 to 24, indicating a slight improvement in safety outcomes.

3

Hit-and-Run Crashes — August 2025

7.3% hit-and-run rate this period vs 0.0% prior. Prior period: 0.

Vulnerable Road User Casualties

0

Cyclists Killed

Prior: 00.0%

0

Motorists Killed

Prior: 00.0%

3

Cyclists Injured

Prior: 1200.0%

21

Motorists Injured

Prior: 26-19.2%

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 patterns of crashes shifted between the two periods. The peak day for crashes moved from Friday in August 2024 (10 crashes) to Saturday in August 2025 (9 crashes). Similarly, the peak crash hour shifted from 2 PM (5 crashes) in the prior year to 5 PM (6 crashes) in the current year, suggesting a change in when high-risk periods occur.

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

There were no fatal crashes in either August 2024 or August 2025. Serious injuries decreased from 2 in August 2024 to 1 in August 2025, while minor injuries saw a slight increase from 16 to 17. Possible injuries decreased from 5 to 2, contributing to the overall reduction in total injuries from 27 to 24.

Outcome by Severity (Crash Events)

Serious Injury1serious injury crashes2.4%
-50.0%prior 2
Minor Injury17minor injury crashes41.5%
6.3%prior 16
Possible Injury2possible injury crashes4.9%
-60.0%prior 5
No Injury20no injury crashes48.8%
-13.0%prior 23

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

Comparing contributing factors, 'Inattention' and 'Failed to yield right of way' both increased from 6 crashes each in August 2024 to 7 crashes each in August 2025. Conversely, 'Followed too closely' decreased significantly from 5 crashes to 3 crashes, and 'Driving too fast for conditions' dropped from 3 crashes to 1 crash. The factor 'No improper driving' also saw an increase from 5 to 6 crashes.

Officer-Reported Primary Contributing Cause

Inattention7 (17.1%)16.7%prior 6
Failed to yield right of way7 (17.1%)16.7%prior 6
No improper driving6 (14.6%)20.0%prior 5
Disregarded traffic signs, signals, road markings4 (9.8%)
Followed too closely3 (7.3%)-40.0%prior 5
Over-correcting/over-steering2 (4.9%)
Failure to keep in proper lane or running off road2 (4.9%)
Emotional2 (4.9%)
Distracted1 (2.4%)
Driving too fast for conditions1 (2.4%)

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 slightly increased from 31 in August 2024 to 32 in August 2025. Crashes on wet road surfaces saw a significant decrease, falling from 9 in the prior period to 2 in the current period. Crashes in dark, lighted roadway conditions also decreased from 9 to 5.

Weather

Clear32 (78.0%)
3.2%prior 31
Cloudy4 (9.8%)
-55.6%prior 9
Clear/Clear3 (7.3%)
Rain1 (2.4%)
Rain/Rain1 (2.4%)

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

Lighting

Daylight35 (85.4%)
-2.8%prior 36
Dark - lighted roadway5 (12.2%)
-44.4%prior 9
Dark - roadway not lighted1 (2.4%)

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

Road Surface

Dry39 (95.1%)
5.4%prior 37
Wet2 (4.9%)
-77.8%prior 9

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

Vehicles & Demographics

The age distribution of persons involved in crashes saw shifts, with the 0-15 age group increasing from 8 to 20 individuals, and the 65+ age group increasing from 10 to 12 individuals. Among vehicle makes, Toyota crashes decreased from 12 to 9, while Honda crashes increased from 7 to 9. Chevrolet and Hyundai also saw decreases in their crash involvement counts.

Top Vehicle Makes (80 vehicles)

1
HONDA9 (11.3%)
28.6%prior 7
2
TOYOTA9 (11.3%)
-25.0%prior 12
3
CHEVROLET7 (8.8%)
-30.0%prior 10
4
HYUNDAI7 (8.8%)
-22.2%prior 9
5
FORD7 (8.8%)
-12.5%prior 8
6
SUBARU6 (7.5%)
7
NISSAN4 (5%)
8
JEEP4 (5%)
-42.9%prior 7
9
KIA3 (3.8%)
10
BUIC3 (3.8%)

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

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

Sex Distribution (102 persons with recorded sex)

Male58 (56.9%)
-6.5%prior 62
Female44 (43.1%)
22.2%prior 36

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 occurring in 25 MPH speed zones increased from 21 in August 2024 to 24 in August 2025. Conversely, crashes in 40 MPH speed zones decreased from 11 to 7 year-over-year. There were no fatal crashes 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: WESTFIELD, MA
  • Total crash records analyzed: 41
  • Total persons involved: 111
  • Total vehicles involved: 80

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). "WESTFIELD, 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/westfield/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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Westfield, MA Crash Report — August 2025 | ThatCarHitMe.com