ThatCarHitMe.com
An Injuria.ai Company
YEAR-OVER-YEAR CRASH REPORT · SPRINGFIELD, MA · JUNE 2023
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-2023-report
Monthly Traffic Safety Analysis
325 CRASHES IN
SPRINGFIELD, MA
JUNE 2023
In June 2023, Springfield, MA experienced 325 total crashes, a decrease of 5.5% compared to the 344 crashes reported in June 2022. A significant positive change was observed in total fatalities, which dropped by 66.7%, from 3 in June 2022 to 1 in June 2023. Total injuries also saw a reduction, decreasing by 10.2% from 206 to 185 year-over-year.
325
▼ -5.5%was 344
Total Crash Events
1
▼ -66.7%was 3
Persons Killed
185
▼ -10.2%was 206
Persons Injured
28
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. 12 crashes with unreported severity are not shown in the severity breakdown.
Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2023-06-01 to 2023-06-30 · Aggregate counts from crash, person, and vehicle records
Trend Summary
Overall crash trends in Springfield, MA show a positive direction, with total crashes decreasing by 5.5% from 344 in June 2022 to 325 in June 2023. This reduction is accompanied by a notable 66.7% decrease in total fatalities, from 3 to 1, and a 10.2% decrease in total injuries, from 206 to 185, indicating an improvement in traffic safety outcomes year-over-year.
28
Hit-and-Run Crashes — June 2023
▼ 0.0% vs prior (28)
The number of hit-and-run crashes remained stable at 28 incidents in both June 2022 and June 2023. However, due to a decrease in total crashes, the hit-and-run rate slightly increased from 8.1% in June 2022 to 8.6% in June 2023. This indicates that while the absolute number of such incidents did not change, their proportion relative to all crashes rose.
Vulnerable Road User Casualties
1
Pedestrians Killed
0
Cyclists Killed
0
Motorists Killed
4
Pedestrians Injured
4
Cyclists Injured
177
Motorists Injured
Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2023-06-01 to 2023-06-30 · Mode classified from person records (driver/passenger → motorist; pedestrian; bicyclist → cyclist; in-line skater / unspecified → other)
When Crashes Happen
The temporal distribution of crashes shifted year-over-year, with the peak crash day moving from Wednesday in June 2022 (66 crashes) to Thursday in June 2023 (60 crashes). The peak crash hour also changed from 1 PM (33 crashes) in June 2022 to 2 PM (29 crashes) in June 2023. While overall crash counts decreased, the busiest periods for crashes saw a slight shift in their timing.
Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2023-06-01 to 2023-06-30 · Crash date field aggregated by weekday
Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2023-06-01 to 2023-06-30 · Crash time field aggregated by hour (0-23)
Crash Severity Breakdown
The severity distribution of crashes improved significantly, with the fatal crash rate decreasing from 0.87% in June 2022 to 0.31% in June 2023. The number of fatal crashes decreased from 3 to 1, and serious injury crashes (A) decreased from 7 to 5. Minor injury crashes (B) also saw a reduction from 74 to 66, and possible injury crashes (C) decreased from 56 to 48, indicating an overall reduction in crash severity.
Outcome by Severity (Crash Events)
Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2023-06-01 to 2023-06-30 · KABCO injury classification scale
Severity Distribution (Crash Events)
Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2023-06-01 to 2023-06-30 · Most severe injury per crash record
Top Contributing Factors
Analyzing contributing factors, 'Inattention' remained the leading factor, though its count decreased from 105 crashes in June 2022 to 93 crashes in June 2023. 'Failed to yield right of way' crashes slightly increased from 51 to 54 year-over-year. Notably, crashes attributed to 'No improper driving' saw a substantial increase from 31 to 54, indicating a larger proportion of crashes where no driver error was identified as a primary factor.
Officer-Reported Primary Contributing Cause
Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2023-06-01 to 2023-06-30 · Officer-reported primary contributory cause per crash
Road & Environmental Conditions
Crash conditions remained largely consistent year-over-year, with the majority of incidents occurring in 'Clear' weather (234 in 2023 vs. 278 in 2022) and 'Daylight' conditions (262 in both periods). Crashes on 'Dry' road surfaces decreased from 307 to 283, while crashes on 'Wet' surfaces saw a slight increase from 35 to 40. The number of crashes in 'Dark - lighted roadway' conditions decreased from 67 to 54.
Weather
Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2023-06-01 to 2023-06-30 · Weather condition at time of crash
Lighting
Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2023-06-01 to 2023-06-30 · Lighting condition field
Road Surface
Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2023-06-01 to 2023-06-30 · Road surface condition field
Vehicles & Demographics
The age distribution of persons involved in crashes showed some shifts, with an increase in the '0-15' age group from 54 in June 2022 to 81 in June 2023, and the '55-64' age group increasing from 59 to 85. Conversely, the '21-25' age group saw a decrease from 117 to 94. Honda and Toyota remained the top two most frequently involved vehicle makes, though Honda's involvement decreased from 100 to 79 and Toyota's from 95 to 77.
Top Vehicle Makes (605 vehicles)
Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2023-06-01 to 2023-06-30 · Vehicle unit records
84 persons with unknown or unrecorded age excluded from age chart.
Sex Distribution (740 persons with recorded sex)
Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2023-06-01 to 2023-06-30 · Person-level records linked to crash events
Speed Limit Zones
Crashes in the 25 mph speed zone decreased slightly from 108 in June 2022 to 104 in June 2023, while crashes in the 30 mph zone decreased from 121 to 108. Conversely, crashes in the 35 mph zone increased from 66 to 77. The fatal crash rate in the 35 mph zone saw a significant reduction, dropping from 4.545% (3 fatalities) in June 2022 to 1.299% (1 fatality) in June 2023.
Fatal crashes by zone: 35 mph: 1 of 77 (1.299%)
Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2023-06-01 to 2023-06-30 · 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: 2023-06-01 through 2023-06-30
- Report generated: June 21, 2026
Data Coverage
- Reporting period: 2023-06-01 through 2023-06-30 (30 days)
- Geographic scope: SPRINGFIELD, MA
- Total crash records analyzed: 325
- Total persons involved: 858
- Total vehicles involved: 605
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 2023." Published June 21, 2026. Reporting period: 2023-06-01 to 2023-06-30. Data source: Massachusetts Crash Data (MassDOT CDV), Arcgis_yearly Open Data. Available at: https://thatcarhitme.com/crash-data/massachusetts/springfield/june-2023-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: 2023-06-01 – 2023-06-30
Generated: June 21, 2026 · All rights reserved