Monthly Traffic Safety Analysis

39 CRASHES IN
WESTFIELD, MA
APRIL 2026

All metrics benchmarked againstApril 2025

Total crashes decreased from 56 in April 2025 to 39 in April 2026, representing a 30.4% reduction. The total number of injuries also decreased from 27 to 19, a 29.6% decline. This period saw no fatal crashes, consistent with the prior year.

39

▼ -30.4%was 56

Total Crash Events

0

Persons Killed

19

▼ -29.6%was 27

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 · 2026-04-01 to 2026-04-30 · Aggregate counts from crash, person, and vehicle records

Trend Summary

Overall, there was a notable downward trend in crash incidents year-over-year. Total crashes decreased by 17, from 56 in April 2025 to 39 in April 2026, marking a 30.4% reduction. Similarly, total injuries declined by 8, from 27 to 19, a 29.6% decrease.

1

Hit-and-Run Crashes — April 2026

2.6% hit-and-run rate this period vs 0.0% prior. Prior period: 0.

Vulnerable Road User Casualties

0

Motorists Killed

Prior: 0→0.0%

19

Motorists Injured

Prior: 23↓-17.4%

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2026-04-01 to 2026-04-30 · 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 Friday in April 2025, which had 10 incidents, to Thursday in April 2026, with 7 incidents. The peak hour also changed, moving from 2 PM with 7 crashes in the prior period to 3 PM with 4 crashes in the current period. Overall, crash counts were lower across most days and hours in April 2026 compared to April 2025.

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)

Crash Severity Breakdown

There were no fatal crashes in either April 2025 or April 2026. The proportion of crashes resulting in any injury decreased from 41.1% (23 of 56 crashes) in the prior period to 30.8% (12 of 39 crashes) in the current period. Specifically, serious injury crashes decreased from 2 to 1, while possible injury crashes saw a notable reduction from 6 to 1.

Outcome by Severity (Crash Events)

Serious Injury1serious injury crashes2.6%
↓-50.0%prior 2
Minor Injury10minor injury crashes25.6%
↓-33.3%prior 15
Possible Injury1possible injury crashes2.6%
↓-83.3%prior 6
No Injury27no injury crashes69.2%
↓-18.2%prior 33

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2026-04-01 to 2026-04-30 · KABCO injury classification scale

Severity Distribution (Crash Events)

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2026-04-01 to 2026-04-30 · Most severe injury per crash record

Top Contributing Factors

Failed to yield right of way remained the leading contributing factor, though its count decreased from 14 in April 2025 to 9 in April 2026, a 35.7% reduction. Inattention crashes increased from 7 to 8, while No improper driving crashes decreased from 9 to 8. Followed too closely also saw a decrease in count from 7 to 5 crashes.

Officer-Reported Primary Contributing Cause

Failed to yield right of way9 (23.1%)↓-35.7%prior 14
Inattention8 (20.5%)↑14.3%prior 7
No improper driving8 (20.5%)↓-11.1%prior 9
Followed too closely5 (12.8%)↓-28.6%prior 7
Failure to keep in proper lane or running off road2 (5.1%)
Fatigued/asleep1 (2.6%)
Driving too fast for conditions1 (2.6%)
Emotional1 (2.6%)
Distracted1 (2.6%)
Other improper action1 (2.6%)

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 in clear weather decreased from 33 in April 2025 to 28 in April 2026, while those during rainy conditions increased from 3 to 4. The number of crashes on dry road surfaces decreased from 40 to 29, and on wet surfaces from 13 to 10. Crashes in daylight conditions saw a reduction from 43 to 27.

Weather

Clear28 (71.8%)
↓-15.2%prior 33
Cloudy5 (12.8%)
↓-16.7%prior 6
Rain4 (10.3%)
Clear/Clear1 (2.6%)
Clear/Cloudy1 (2.6%)

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

Lighting

Daylight27 (69.2%)
↓-37.2%prior 43
Dark - lighted roadway8 (20.5%)
→0.0%prior 8
Dark - roadway not lighted3 (7.7%)
Dawn1 (2.6%)

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

Road Surface

Dry29 (74.4%)
↓-27.5%prior 40
Wet10 (25.6%)
↓-23.1%prior 13

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

Vehicles & Demographics

Toyota remained the most frequently involved vehicle make, though its count decreased from 15 in April 2025 to 12 in April 2026. Honda's involvement decreased from 12 to 8, and Ford's from 11 to 8. The 16-20 age group saw a significant decrease in persons involved, from 26 to 15, while the 65+ age group also declined from 15 to 11.

Top Vehicle Makes (70 vehicles)

1
TOYOTA12 (17.1%)
↓-20.0%prior 15
2
FORD8 (11.4%)
↓-27.3%prior 11
3
HONDA8 (11.4%)
↓-33.3%prior 12
4
JEEP5 (7.1%)
↓-16.7%prior 6
5
NISSAN5 (7.1%)
6
DODGE4 (5.7%)
7
HYUNDAI4 (5.7%)
8
SUBARU3 (4.3%)
↓-50.0%prior 6
9
CHEVROLET3 (4.3%)
↓-75.0%prior 12
10
OTH2 (2.9%)

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

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

Sex Distribution (94 persons with recorded sex)

Female53 (56.4%)
↓-1.9%prior 54
Male41 (43.6%)
↓-47.4%prior 78

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

The 25 mph speed zone continued to have the highest number of crashes in both periods, with 15 crashes in April 2025 and 16 in April 2026. Crashes in the 35 mph zone decreased from 10 to 6, and in the 40 mph zone from 12 to 8. The 65 mph zone also experienced a reduction in crashes from 4 to 2.

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: WESTFIELD, MA
  • Total crash records analyzed: 39
  • Total persons involved: 99
  • Total vehicles involved: 70

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: 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/westfield/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

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Westfield, MA Crash Report — April 2026 | ThatCarHitMe.com