Monthly Traffic Safety Analysis

83 CRASHES IN
WEST SPRINGFIELD, MA
APRIL 2025

All metrics benchmarked againstApril 2024

Total crashes in WEST SPRINGFIELD decreased by 14.43%, from 97 in April 2024 to 83 in April 2025. The most notable year-over-year shift was a 54.84% decrease in total injuries, which fell from 31 to 14.

83

▼ -14.4%was 97

Total Crash Events

0

Persons Killed

14

▼ -54.8%was 31

Persons Injured

9

▼ -35.7%was 14

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. 2 crashes with unreported severity are not shown in the severity breakdown.

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2025-04-01 to 2025-04-30 · Aggregate counts from crash, person, and vehicle records

Trend Summary

Overall, crashes in WEST SPRINGFIELD decreased year-over-year, with total crashes falling from 97 in April 2024 to 83 in April 2025. This represents a 14.43% reduction in the total number of crashes. Similarly, total injuries decreased by 54.84%, from 31 to 14.

9

Hit-and-Run Crashes — April 2025

▼ -35.7% vs prior (14)

Hit-and-run crashes decreased from 14 in April 2024 to 9 in April 2025, representing a 35.71% decrease in count. The hit-and-run rate also decreased from 14.4% of all crashes in April 2024 to 10.8% in April 2025, indicating a downward trend.

Vulnerable Road User Casualties

0

Motorists Killed

Prior: 0→0.0%

14

Motorists Injured

Prior: 31↓-54.8%

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2025-04-01 to 2025-04-30 · 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 Monday, with 19 crashes in April 2024, to Tuesday, with 17 crashes in April 2025. The peak hour for crashes also shifted from 3 PM in April 2024 to 12 PM in April 2025, with both peak hours recording 10 crashes.

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2025-04-01 to 2025-04-30 · Crash date field aggregated by weekday

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2025-04-01 to 2025-04-30 · Crash time field aggregated by hour (0-23)

Crash Severity Breakdown

No fatal crashes or fatalities were reported in either April 2024 or April 2025. Total injuries decreased significantly by 54.84%, from 31 in April 2024 to 14 in April 2025. While minor injuries decreased from 11 to 4, serious injuries increased from 1 to 3 year-over-year.

Outcome by Severity (Crash Events)

Serious Injury3serious injury crashes3.6%
↑200.0%prior 1
Minor Injury4minor injury crashes4.8%
↓-63.6%prior 11
Possible Injury6possible injury crashes7.2%
↓-14.3%prior 7
No Injury68no injury crashes81.9%
↓-6.8%prior 73

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2025-04-01 to 2025-04-30 · KABCO injury classification scale

Severity Distribution (Crash Events)

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2025-04-01 to 2025-04-30 · Most severe injury per crash record

Top Contributing Factors

Crashes attributed to 'No improper driving' decreased from 39 in April 2024 to 27 in April 2025, a 30.77% decrease in count. Conversely, 'Failed to yield right of way' increased from 7 crashes to 15 crashes, a 114.29% increase in count. 'Followed too closely' also doubled, rising from 5 crashes to 10 crashes year-over-year.

Officer-Reported Primary Contributing Cause

No improper driving27 (32.5%)↓-30.8%prior 39
Failed to yield right of way15 (18.1%)↑114.3%prior 7
Followed too closely10 (12%)↑100.0%prior 5
Failure to keep in proper lane or running off road9 (10.8%)
Inattention5 (6%)↓-37.5%prior 8
Driving too fast for conditions2 (2.4%)
Made an improper turn1 (1.2%)
Disregarded traffic signs, signals, road markings1 (1.2%)
Physical impairment1 (1.2%)
Visibility obstructed1 (1.2%)

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2025-04-01 to 2025-04-30 · Officer-reported primary contributory cause per crash

Road & Environmental Conditions

Crashes occurring in clear weather decreased from 65 in April 2024 to 56 in April 2025, while crashes during rain increased from 6 to 9. The number of crashes on dry road surfaces decreased from 75 to 67, and crashes on wet surfaces also saw a slight reduction from 18 to 16. Notably, crashes reported on ice or slush conditions in April 2024 (4 crashes) were not observed in April 2025.

Weather

Clear56 (67.5%)
↓-13.8%prior 65
Cloudy12 (14.5%)
↑33.3%prior 9
Rain9 (10.8%)
↑50.0%prior 6
Rain/Cloudy2 (2.4%)
Clear/Clear2 (2.4%)
Cloudy/Rain1 (1.2%)
Sleet, hail (freezing rain or drizzle)1 (1.2%)

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2025-04-01 to 2025-04-30 · Weather condition at time of crash

Lighting

Daylight64 (77.1%)
↓-12.3%prior 73
Dark - lighted roadway15 (18.1%)
↓-21.1%prior 19
Dusk2 (2.4%)
Dark - roadway not lighted1 (1.2%)
Dawn1 (1.2%)

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2025-04-01 to 2025-04-30 · Lighting condition field

Road Surface

Dry67 (80.7%)
↓-10.7%prior 75
Wet16 (19.3%)
↓-11.1%prior 18

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2025-04-01 to 2025-04-30 · Road surface condition field

Vehicles & Demographics

The total number of persons involved in crashes decreased from 218 in April 2024 to 174 in April 2025. The 26-34 age group experienced a notable decrease in involvement, from 42 persons to 29 persons. The top vehicle make involved in crashes shifted from Honda (29 vehicles) in April 2024 to Subaru and Toyota (14 vehicles each) in April 2025.

Top Vehicle Makes (157 vehicles)

1
SUBARU14 (8.9%)
↑133.3%prior 6
2
TOYOTA14 (8.9%)
↓-41.7%prior 24
3
FORD13 (8.3%)
↓-13.3%prior 15
4
HONDA13 (8.3%)
↓-55.2%prior 29
5
CHEVROLET13 (8.3%)
→0.0%prior 13
6
HYUNDAI11 (7%)
↑37.5%prior 8
7
NISSAN11 (7%)
↓-45.0%prior 20
8
VOLKSWAGEN8 (5.1%)
9
GMC6 (3.8%)
10
MAZDA5 (3.2%)

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2025-04-01 to 2025-04-30 · Vehicle unit records

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

Sex Distribution (166 persons with recorded sex)

Male98 (59.0%)
↓-10.1%prior 109
Female68 (41.0%)
↓-20.0%prior 85

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2025-04-01 to 2025-04-30 · Person-level records linked to crash events

Speed Limit Zones

Crashes in the 30 MPH speed zone decreased from 41 in April 2024 to 35 in April 2025. Conversely, crashes in the 40 MPH zone increased from 13 to 18 year-over-year. No fatal crashes were reported in any speed zone during either period.

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2025-04-01 to 2025-04-30 · 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: 2025-04-01 through 2025-04-30
  • Report generated: June 21, 2026

Data Coverage

  • Reporting period: 2025-04-01 through 2025-04-30 (30 days)
  • Geographic scope: WEST SPRINGFIELD, MA
  • Total crash records analyzed: 83
  • Total persons involved: 174
  • Total vehicles involved: 157

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). "WEST SPRINGFIELD, MA Crash Intelligence Report: April 2025." Published June 21, 2026. Reporting period: 2025-04-01 to 2025-04-30. Data source: Massachusetts Crash Data (MassDOT CDV), Arcgis_yearly Open Data. Available at: https://thatcarhitme.com/crash-data/massachusetts/west-springfield/april-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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West Springfield, MA Crash Report — April 2025 | ThatCarHitMe.com