Monthly Traffic Safety Analysis

51 CRASHES IN
WESTFIELD, MA
JUNE 2024

All metrics benchmarked againstJune 2023

In June 2024, WESTFIELD, MA recorded 51 crashes, which was unchanged from June 2023. Total injuries decreased by 12.5%, from 24 in June 2023 to 21 in June 2024. A notable shift was the increase in DUI crashes from 1 to 2, and pedestrian crashes from 0 to 2, while cyclist crashes decreased from 2 to 0.

51

Total Crash Events

0

Persons Killed

21

-12.5%was 24

Persons Injured

0

Fatal Crash Events

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 · 2024-06-01 to 2024-06-30 · Aggregate counts from crash, person, and vehicle records

Trend Summary

Overall, the number of crashes in WESTFIELD, MA remained stable year-over-year, with 51 crashes reported in both June 2023 and June 2024. However, total injuries decreased by 12.5%, from 24 in June 2023 to 21 in June 2024. Fatalities remained at zero in both periods.

Vulnerable Road User Casualties

0

Pedestrians Killed

Prior: 00.0%

0

Motorists Killed

Prior: 00.0%

1

Pedestrians Injured

Prior: 0%

20

Motorists Injured

Prior: 22-9.1%

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2024-06-01 to 2024-06-30 · Mode classified from person records (driver/passenger → motorist; pedestrian; bicyclist → cyclist; in-line skater / unspecified → other)

When Crashes Happen

The peak day for crashes shifted from Saturday, with 10 crashes in June 2023, to Friday, with 14 crashes in June 2024. Similarly, the peak crash hour moved from 5 PM, which had 7 crashes in the prior period, to 10 AM, which had 6 crashes in the current period.

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2024-06-01 to 2024-06-30 · Crash date field aggregated by weekday

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2024-06-01 to 2024-06-30 · Crash time field aggregated by hour (0-23)

Crash Severity Breakdown

Fatal crashes remained at zero in both June 2023 and June 2024. Total injuries decreased from 24 to 21 year-over-year. The current period saw 2 serious injuries, which were not reported in the prior period, while minor injuries decreased from 13 to 11 and possible injuries decreased from 5 to 3.

Outcome by Severity (Crash Events)

Serious Injury2serious injury crashes3.9%
Minor Injury11minor injury crashes21.6%
-15.4%prior 13
Possible Injury3possible injury crashes5.9%
-40.0%prior 5
No Injury35no injury crashes68.6%
6.1%prior 33

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2024-06-01 to 2024-06-30 · KABCO injury classification scale

Severity Distribution (Crash Events)

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2024-06-01 to 2024-06-30 · Most severe injury per crash record

Top Contributing Factors

The top contributing factor, 'Failed to yield right of way,' decreased from 15 crashes in June 2023 to 12 crashes in June 2024. 'No improper driving' also saw a decrease from 10 to 6 crashes, while 'Followed too closely' increased slightly from 7 to 8 crashes. 'Disregarded traffic signs, signals, road markings' increased from 1 crash to 4 crashes.

Officer-Reported Primary Contributing Cause

Failed to yield right of way12 (23.5%)-20.0%prior 15
Followed too closely8 (15.7%)14.3%prior 7
No improper driving6 (11.8%)-40.0%prior 10
Disregarded traffic signs, signals, road markings4 (7.8%)
Failure to keep in proper lane or running off road3 (5.9%)
Inattention2 (3.9%)
Fatigued/asleep2 (3.9%)
Glare1 (2%)
Driving too fast for conditions1 (2%)
Operating defective equipment1 (2%)

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2024-06-01 to 2024-06-30 · Officer-reported primary contributory cause per crash

Road & Environmental Conditions

Crashes occurring in clear weather conditions increased from 34 in June 2023 to 40 in June 2024. Conversely, crashes in cloudy conditions decreased from 10 to 4. Crashes occurring in dark-lighted roadway conditions notably increased from 5 to 11, while daylight crashes slightly decreased from 40 to 38.

Weather

Clear40 (78.4%)
17.6%prior 34
Cloudy4 (7.8%)
-60.0%prior 10
Rain4 (7.8%)
Rain/Cloudy2 (3.9%)
Clear/Cloudy1 (2.0%)

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2024-06-01 to 2024-06-30 · Weather condition at time of crash

Lighting

Daylight38 (74.5%)
-5.0%prior 40
Dark - lighted roadway11 (21.6%)
120.0%prior 5
Dark - roadway not lighted1 (2.0%)
Dusk1 (2.0%)

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2024-06-01 to 2024-06-30 · Lighting condition field

Road Surface

Dry44 (86.3%)
-4.3%prior 46
Wet7 (13.7%)
40.0%prior 5

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2024-06-01 to 2024-06-30 · Road surface condition field

Vehicles & Demographics

Ford became the most frequently involved vehicle make, with 18 vehicles in June 2024, up from 9 in June 2023, while Honda involvement decreased from 13 to 8. The 0-15 age group saw a decrease in persons involved from 13 to 4, whereas the 16-20 age group increased from 12 to 17 persons involved.

Top Vehicle Makes (91 vehicles)

1
FORD18 (19.8%)
100.0%prior 9
2
TOYOTA12 (13.2%)
100.0%prior 6
3
CHEVROLET8 (8.8%)
-20.0%prior 10
4
HONDA8 (8.8%)
-38.5%prior 13
5
NISSAN8 (8.8%)
6
LEXUS4 (4.4%)
7
SUBARU4 (4.4%)
-55.6%prior 9
8
VOLKSWAGEN3 (3.3%)
9
HYUNDAI3 (3.3%)
10
RAM2 (2.2%)

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2024-06-01 to 2024-06-30 · Vehicle unit records

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

Sex Distribution (106 persons with recorded sex)

Male57 (53.8%)
-5.0%prior 60
Female49 (46.2%)
-5.8%prior 52

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2024-06-01 to 2024-06-30 · Person-level records linked to crash events

Speed Limit Zones

Crashes occurring in 25 mph speed zones increased significantly from 4 in June 2023 to 23 in June 2024. Conversely, crashes in 30 mph zones decreased from 17 to 5, and 65 mph zones decreased from 9 to 3. No fatalities were recorded in any speed zone during either period.

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2024-06-01 to 2024-06-30 · 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: 2024-06-01 through 2024-06-30
  • Report generated: June 21, 2026

Data Coverage

  • Reporting period: 2024-06-01 through 2024-06-30 (30 days)
  • Geographic scope: WESTFIELD, MA
  • Total crash records analyzed: 51
  • Total persons involved: 113
  • Total vehicles involved: 91

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: June 2024." Published June 21, 2026. Reporting period: 2024-06-01 to 2024-06-30. Data source: Massachusetts Crash Data (MassDOT CDV), Arcgis_yearly Open Data. Available at: https://thatcarhitme.com/crash-data/massachusetts/westfield/june-2024-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 — June 2024 | ThatCarHitMe.com