ThatCarHitMe.com
An Injuria.ai Company
YEAR-OVER-YEAR CRASH REPORT · SPRINGFIELD, MA · SEPTEMBER 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/september-2025-report
Monthly Traffic Safety Analysis
372 CRASHES IN
SPRINGFIELD, MA
SEPTEMBER 2025
In September 2025, SPRINGFIELD, MA recorded 372 total crashes, a substantial increase compared to 193 crashes in September 2024, representing a 92.7% rise. Total injuries also saw a significant increase from 77 to 190, a 146.8% rise. Fatalities, however, decreased from 3 in the prior period to 1 in the current period, a 66.7% reduction. This indicates a notable increase in crash frequency and injury severity, despite a decrease in fatal outcomes.
372
▲ 92.7%was 193
Total Crash Events
1
▼ -66.7%was 3
Persons Killed
190
▲ 146.8%was 77
Persons Injured
65
▲ 47.7%was 44
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. 22 crashes with unreported severity are not shown in the severity breakdown.
Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2025-09-01 to 2025-09-30 · Aggregate counts from crash, person, and vehicle records
Trend Summary
Overall, crash data for September 2025 indicates a significant upward trend in crash occurrences compared to the prior year. Total crashes rose by 92.7%, from 193 to 372, while total injuries increased by 146.8%, from 77 to 190. Conversely, total fatalities decreased by 66.7%, from 3 to 1.
65
Hit-and-Run Crashes — September 2025
▲ 47.7% vs prior (44)
The number of hit-and-run crashes increased from 44 to 65 year-over-year. However, the hit-and-run rate decreased from 22.8% of total crashes in the prior period to 17.5% in the current period, indicating a downward trend in the proportion of crashes involving a hit-and-run.
Vulnerable Road User Casualties
1
Pedestrians Killed
0
Motorists Killed
0
Pedestrians Injured
190
Motorists Injured
Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2025-09-01 to 2025-09-30 · Mode classified from person records (driver/passenger → motorist; pedestrian; bicyclist → cyclist; in-line skater / unspecified → other)
When Crashes Happen
The temporal patterns show a shift in the peak day for crashes, moving from Saturday (33 crashes) in the prior period to Monday (67 crashes) in the current period. The peak hour for crashes remained 3 PM in both periods, but the number of crashes during this hour increased from 22 to 33. Monday crashes increased by 37, from 30 to 67, while Saturday crashes increased by 19, from 33 to 52.
Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2025-09-01 to 2025-09-30 · Crash date field aggregated by weekday
Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2025-09-01 to 2025-09-30 · Crash time field aggregated by hour (0-23)
Crash Severity Breakdown
The fatal crash rate decreased significantly year-over-year, dropping from 1.55% in the prior period to 0.27% in the current period. While serious injury crashes decreased from 4 to 3, minor injury crashes more than doubled from 38 to 92. The proportion of crashes resulting in minor injury increased from 19.7% to 24.7% of all crashes, whereas possible injury crashes decreased in proportion from 10.9% to 8.9%.
Outcome by Severity (Crash Events)
Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2025-09-01 to 2025-09-30 · KABCO injury classification scale
Severity Distribution (Crash Events)
Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2025-09-01 to 2025-09-30 · Most severe injury per crash record
Top Contributing Factors
Contributing factors saw increases across the board in crash counts. 'Inattention' remained the top factor, increasing from 41 crashes to 80 crashes, a rise of 39. Crashes attributed to 'No improper driving' increased by 35, from 34 to 69, while 'Failed to yield right of way' crashes increased by 26, from 30 to 56. The share of crashes attributed to 'Inattention' remained stable at 21.2% in the prior period and 21.5% in the current period.
Officer-Reported Primary Contributing Cause
Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2025-09-01 to 2025-09-30 · Officer-reported primary contributory cause per crash
Road & Environmental Conditions
Crashes occurring in 'Clear' weather conditions increased from 148 to 310, and those on 'Dry' road surfaces increased from 174 to 340. Crashes during 'Daylight' conditions also rose significantly from 127 to 266. There was a slight decrease in crashes during 'Rain' from 13 to 12, and 'Cloudy' conditions from 16 to 10.
Weather
Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2025-09-01 to 2025-09-30 · Weather condition at time of crash
Lighting
Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2025-09-01 to 2025-09-30 · Lighting condition field
Road Surface
Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2025-09-01 to 2025-09-30 · Road surface condition field
Vehicles & Demographics
The total number of vehicles involved in crashes increased from 368 to 735. Honda remained the top vehicle make involved, increasing from 73 to 114, while Toyota saw the largest increase in count, rising from 46 to 102. The 26-34 age group continued to have the highest number of persons involved in crashes, increasing from 86 to 184. The number of males involved in crashes increased from 220 to 439, and females from 164 to 394.
Top Vehicle Makes (735 vehicles)
Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2025-09-01 to 2025-09-30 · Vehicle unit records
149 persons with unknown or unrecorded age excluded from age chart.
Sex Distribution (833 persons with recorded sex)
Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2025-09-01 to 2025-09-30 · Person-level records linked to crash events
Speed Limit Zones
Crashes in 25 mph zones increased from 58 to 126, while those in 30 mph zones rose from 59 to 95. There was one fatal crash in a 30 mph zone in the current period, compared to zero in the prior period. Crashes in 35 mph zones increased from 40 to 80, but the number of fatal crashes in this zone decreased from 2 to 0. Crashes in 55 mph zones also increased from 14 to 21.
Fatal crashes by zone: 30 mph: 1 of 95 (1.053%)
Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2025-09-01 to 2025-09-30 · 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: 2025-09-01 through 2025-09-30
- Report generated: June 21, 2026
Data Coverage
- Reporting period: 2025-09-01 through 2025-09-30 (30 days)
- Geographic scope: SPRINGFIELD, MA
- Total crash records analyzed: 372
- Total persons involved: 989
- Total vehicles involved: 735
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: September 2025." Published June 21, 2026. Reporting period: 2025-09-01 to 2025-09-30. Data source: Massachusetts Crash Data (MassDOT CDV), Arcgis_yearly Open Data. Available at: https://thatcarhitme.com/crash-data/massachusetts/springfield/september-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: 2025-09-01 – 2025-09-30
Generated: June 21, 2026 · All rights reserved