ThatCarHitMe.com
An Injuria.ai Company
YEAR-OVER-YEAR CRASH REPORT · SPRINGFIELD, MA · JUNE 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.
GET: https://thatcarhitme.com/api/crash-data/reports/data/massachusetts/springfield/june-2025-report
Monthly Traffic Safety Analysis
329 CRASHES IN
SPRINGFIELD, MA
JUNE 2025
In June 2025, Springfield experienced 329 crashes, an 84.83% increase compared to 178 crashes in June 2024. Despite the substantial rise in total crashes, fatalities decreased by 66.67%, from 3 in June 2024 to 1 in June 2025. Total injuries also saw a significant increase of 88.51%, rising from 87 to 164.
329
▲ 84.8%was 178
Total Crash Events
1
▼ -66.7%was 3
Persons Killed
164
▲ 88.5%was 87
Persons Injured
63
▲ 53.7%was 41
Hit-and-Run Crashes
Note: "Persons Killed" (1) counts individual fatalities across all crash events. "Fatal" in the severity table below (1) counts crash events where at least one fatality occurred. A single crash can result in multiple fatalities. 20 crashes with unreported severity are not shown in the severity breakdown.
Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2025-06-01 to 2025-06-30 · Aggregate counts from crash, person, and vehicle records
Trend Summary
Overall crash activity in Springfield showed a significant upward trend year-over-year, with total crashes increasing by 84.83% from 178 in June 2024 to 329 in June 2025. This indicates a substantial rise in crash incidents for the current period.
63
Hit-and-Run Crashes — June 2025
▲ 53.7% vs prior (41)
The number of hit-and-run crashes increased from 41 in June 2024 to 63 in June 2025, representing a 53.66% rise in count. Despite this increase in raw numbers, the overall hit-and-run rate decreased from 23% of total crashes in June 2024 to 19.1% in June 2025, indicating a slight improvement in the proportion of such incidents.
Vulnerable Road User Casualties
1
Pedestrians Killed
0
Motorists Killed
0
Pedestrians Injured
164
Motorists Injured
Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2025-06-01 to 2025-06-30 · 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 in June 2024 (34 crashes) to Friday, Monday, and Tuesday in June 2025, each recording 55 crashes. The peak hour also shifted from 4 PM with 16 crashes in June 2024 to 3 PM with 32 crashes in June 2025, indicating a shift in peak activity to an earlier afternoon hour.
Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2025-06-01 to 2025-06-30 · Crash date field aggregated by weekday
Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2025-06-01 to 2025-06-30 · Crash time field aggregated by hour (0-23)
Crash Severity Breakdown
Fatal crashes decreased significantly year-over-year, from 3 crashes (1.7% of total) in June 2024 to 1 crash (0.3% of total) in June 2025. While the total number of injury crashes increased from 56 to 99, their proportion relative to total crashes remained stable, moving from 31.5% to 30.1%. Serious injuries increased from 3 to 4, minor injuries from 29 to 57, and possible injuries from 24 to 38.
Outcome by Severity (Crash Events)
Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2025-06-01 to 2025-06-30 · KABCO injury classification scale
Severity Distribution (Crash Events)
Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2025-06-01 to 2025-06-30 · Most severe injury per crash record
Top Contributing Factors
Inattention became the leading contributing factor in June 2025 with 80 crashes, a 175.86% increase from 29 crashes in June 2024, surpassing 'No improper driving' which increased by 29.73% from 37 to 48 crashes. 'Failed to yield right of way' also saw a substantial increase of 78.26%, rising from 23 to 41 crashes. Other factors like 'Failure to keep in proper lane or running off road' (from 7 to 22 crashes, a 214.29% increase) and 'Exceeded authorized speed limit' (from 2 to 7 crashes, a 250% increase) showed notable growth in count.
Officer-Reported Primary Contributing Cause
Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2025-06-01 to 2025-06-30 · Officer-reported primary contributory cause per crash
Road & Environmental Conditions
The proportion of crashes occurring in clear weather conditions decreased slightly from 76.4% in June 2024 to 70.8% in June 2025, while crashes on dry road surfaces remained largely consistent at around 86%. Crashes during daylight hours increased in proportion from 67.4% to 74.5% year-over-year, alongside a decrease in the proportion of crashes occurring in dark-lighted roadway conditions from 24.2% to 17.9%.
Weather
Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2025-06-01 to 2025-06-30 · Weather condition at time of crash
Lighting
Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2025-06-01 to 2025-06-30 · Lighting condition field
Road Surface
Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2025-06-01 to 2025-06-30 · Road surface condition field
Vehicles & Demographics
The total number of persons involved in crashes increased from 465 to 862 year-over-year. All age groups saw an increase in representation, with the 26-34 age group showing the largest increase in count from 71 to 147 persons. Toyota became the most frequently involved vehicle make in June 2025 with 94 vehicles, an 88% increase from 50 in June 2024, while Honda increased from 60 to 89, and Ford surged from 16 to 71 vehicles.
Top Vehicle Makes (661 vehicles)
Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2025-06-01 to 2025-06-30 · Vehicle unit records
138 persons with unknown or unrecorded age excluded from age chart.
Sex Distribution (721 persons with recorded sex)
Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2025-06-01 to 2025-06-30 · Person-level records linked to crash events
Speed Limit Zones
Crashes significantly increased across several speed zones year-over-year, with the 25 mph zone seeing a rise from 80 to 115 crashes, and the 30 mph zone increasing from 34 to 93 crashes. Notably, the fatal crash rate in the 30 mph zone decreased from 5.882% (2 fatalities) in June 2024 to 0% (0 fatalities) in June 2025. The 25 mph zone also saw a decrease in its fatal crash rate from 1.25% to 0.87%.
Fatal crashes by zone: 25 mph: 1 of 115 (0.87%)
Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2025-06-01 to 2025-06-30 · 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: 2025-06-01 through 2025-06-30
- Report generated: June 21, 2026
Data Coverage
- Reporting period: 2025-06-01 through 2025-06-30 (30 days)
- Geographic scope: SPRINGFIELD, MA
- Total crash records analyzed: 329
- Total persons involved: 862
- Total vehicles involved: 661
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). "SPRINGFIELD, MA Crash Intelligence Report: June 2025." Published June 21, 2026. Reporting period: 2025-06-01 to 2025-06-30. Data source: Massachusetts Crash Data (MassDOT CDV), Arcgis_yearly Open Data. Available at: https://thatcarhitme.com/crash-data/massachusetts/springfield/june-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
ThatCarHitMe.com · An Injuria.ai Company
ThatCarHitMe.com
An Injuria.ai Company
Crash Data Intelligence
Data: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly
Period: 2025-06-01 – 2025-06-30
Generated: June 21, 2026 · All rights reserved