ThatCarHitMe.com
An Injuria.ai Company
YEAR-OVER-YEAR CRASH REPORT · WEST SPRINGFIELD, MA · 2025
Purpose: Machine-readable JSON endpoint for AI agents, LLMs, researchers, and programmatic consumers. Returns all underlying crash data and AI-generated commentary without HTML.
Authentication: None required. Public endpoint.
Yearly Traffic Safety Analysis
1,109 CRASHES IN
WEST SPRINGFIELD, MA
2025
In 2025, West Springfield recorded 1,109 total crashes, a 13.4% decrease from the 1,280 crashes recorded in 2024. Despite the overall reduction in collisions and a 26.4% drop in total injuries, the number of fatalities tripled, rising from 2 in the prior year to 6 in the current year.
1,109
▼ -13.4%was 1,280
Total Crash Events
6
▲ 200.0%was 2
Persons Killed
268
▼ -26.4%was 364
Persons Injured
151
▼ -4.4%was 158
Hit-and-Run Crashes
Note: "Persons Killed" (6) counts individual fatalities across all crash events. "Fatal" in the severity table below (4) counts crash events where at least one fatality occurred. A single crash can result in multiple fatalities. 11 crashes with unreported severity are not shown in the severity breakdown.
Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2025-01-01 to 2025-12-31 · Aggregate counts from crash, person, and vehicle records
Trend Summary
Overall, traffic crashes in West Springfield showed a downward trend year-over-year. The total number of crashes fell by 13.4%, from 1,280 in 2024 to 1,109 in 2025. Similarly, the number of people injured in these incidents decreased by 26.4%, from 364 to 268.
151
Hit-and-Run Crashes — 2025
▼ -4.4% vs prior (158)
While the absolute number of hit-and-run crashes decreased slightly from 158 in 2024 to 151 in 2025, the hit-and-run rate trended upward. As a proportion of all collisions, hit-and-runs increased from 12.3% in the prior year to 13.6% in the current year. This indicates that hit-and-runs constituted a larger share of the total crashes in 2025 compared to the previous year.
Vulnerable Road User Casualties
0
Pedestrians Killed
0
Cyclists Killed
3
Motorists Killed
3
Other Killed
8
Pedestrians Injured
8
Cyclists Injured
249
Motorists Injured
3
Other Injured
Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2025-01-01 to 2025-12-31 · Mode classified from person records (driver/passenger → motorist; pedestrian; bicyclist → cyclist; in-line skater / unspecified → other)
When Crashes Happen
The temporal patterns of crashes remained largely consistent year-over-year. Friday was the peak day for crashes in both 2025 (193 crashes) and 2024 (218 crashes). The peak hour for collisions shifted slightly earlier, from 4 p.m. in the prior year (127 crashes) to 3 p.m. in the current year (114 crashes). In both periods, crash frequency increased during the afternoon commute.
Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2025-01-01 to 2025-12-31 · Crash date field aggregated by weekday
Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2025-01-01 to 2025-12-31 · Crash time field aggregated by hour (0-23)
Crash Severity Breakdown
While total crashes declined, the severity of outcomes worsened in certain respects. The number of fatal crashes doubled from 2 in 2024 to 4 in 2025, with the fatal crash rate increasing from 0.2% to 0.4% of all crashes. Conversely, the proportion of crashes resulting in minor injuries fell from 13.4% to 8.9%. The share of crashes with no reported injuries increased from 77.1% to 80.4%.
Severity is per crash event (most severe injury). 4 fatal crash events resulted in 6 persons killed.
Outcome by Severity (Crash Events)
Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2025-01-01 to 2025-12-31 · KABCO injury classification scale
Severity Distribution (Crash Events)
Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2025-01-01 to 2025-12-31 · Most severe injury per crash record
Top Contributing Factors
The leading contributing factors shifted between the two periods. While 'No improper driving' remained the most common finding, its count decreased from 500 to 407. The count of crashes attributed to 'Failed to yield right of way' increased by 20%, from 115 to 138, making it the second-most cited factor in 2025. Crashes involving 'Followed too closely' saw a notable 56.8% increase in count, rising from 74 to 116. Conversely, crashes linked to 'Inattention' fell by 42.7%, from a count of 124 in 2024 to 71 in 2025.
Officer-Reported Primary Contributing Cause
Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2025-01-01 to 2025-12-31 · Officer-reported primary contributory cause per crash
Road & Environmental Conditions
Crash conditions remained broadly similar year-over-year, with no significant shifts in environmental factors. In both 2025 and 2024, the majority of crashes occurred in clear weather (68.6% and 70.5%, respectively) and during daylight hours (73.3% and 72.2%, respectively). Crashes on dry road surfaces also accounted for a consistent majority, representing 79.8% of incidents in the current year and 80.8% in the prior year.
Weather
Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2025-01-01 to 2025-12-31 · Weather condition at time of crash
Lighting
Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2025-01-01 to 2025-12-31 · Lighting condition field
Road Surface
Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2025-01-01 to 2025-12-31 · Road surface condition field
Vehicles & Demographics
The demographics of vehicles and persons involved in crashes saw minimal changes. Toyota, Honda, and Ford remained the top three vehicle makes involved in collisions in both years, though Ford (234 vehicles) surpassed Honda (218 vehicles) for the number two spot in 2025. The age distribution of persons involved in crashes was also stable, with the 26-34 age group representing the largest share in both 2025 (19.1%) and 2024 (18.5%).
Top Vehicle Makes (2,105 vehicles)
Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2025-01-01 to 2025-12-31 · Vehicle unit records
201 persons with unknown or unrecorded age excluded from age chart.
Sex Distribution (2,498 persons with recorded sex)
Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2025-01-01 to 2025-12-31 · Person-level records linked to crash events
Speed Limit Zones
Crashes remained most frequent in 30 mph zones, although the count in these zones decreased from 554 to 465 year-over-year. The distribution of fatal crashes across speed zones shifted notably. In 2025, three fatalities occurred in 30 mph zones and one occurred in a 40 mph zone. This contrasts with 2024, where one fatality was recorded in a 25 mph zone and one in a 30 mph zone.
Fatal crashes by zone: 30 mph: 3 of 465 (0.645%) · 40 mph: 1 of 225 (0.444%)
Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2025-01-01 to 2025-12-31 · 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: 2025-01-01 through 2025-12-31
- Report generated: June 21, 2026
Data Coverage
- Reporting period: 2025-01-01 through 2025-12-31 (365 days)
- Geographic scope: WEST SPRINGFIELD, MA
- Total crash records analyzed: 1,109
- Total persons involved: 2,687
- Total vehicles involved: 2,105
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: 2025." Published June 21, 2026. Reporting period: 2025-01-01 to 2025-12-31. Data source: Massachusetts Crash Data (MassDOT CDV), Arcgis_yearly Open Data. Available at: https://thatcarhitme.com/crash-data/massachusetts/west-springfield/2025-annual-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
ThatCarHitMe.com · An Injuria.ai Company
ThatCarHitMe.com
An Injuria.ai Company
Crash Data Intelligence
Data: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly
Period: 2025-01-01 – 2025-12-31
Generated: June 21, 2026 · All rights reserved