ThatCarHitMe.com
An Injuria.ai Company
YEAR-OVER-YEAR CRASH REPORT · SPRINGFIELD, MA · JULY 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/july-2023-report
Monthly Traffic Safety Analysis
346 CRASHES IN
SPRINGFIELD, MA
JULY 2023
Total crashes in Springfield decreased by 3.89%, from 360 in July 2022 to 346 in July 2023. While overall crashes and injuries saw a decline, a notable shift was the increase in total fatalities from 0 to 2, marking a significant change in crash outcomes year-over-year. Hit-and-run crashes also saw a substantial decrease, falling from 46 to 24.
346
▼ -3.9%was 360
Total Crash Events
2
Persons Killed
195
▼ -12.6%was 223
Persons Injured
24
▼ -47.8%was 46
Hit-and-Run Crashes
Note: "Persons Killed" (2) counts individual fatalities across all crash events. "Fatal" in the severity table below (2) counts crash events where at least one fatality occurred. A single crash can result in multiple fatalities. 14 crashes with unreported severity are not shown in the severity breakdown.
Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2023-07-01 to 2023-07-31 · Aggregate counts from crash, person, and vehicle records
Trend Summary
Overall crash incidents in Springfield showed a downward trend, decreasing by 3.89% from 360 crashes in July 2022 to 346 crashes in July 2023. Concurrently, total injuries declined by 12.56%, from 223 to 195. However, a concerning trend was observed in fatalities, which increased from 0 in the prior period to 2 in the current period.
24
Hit-and-Run Crashes — July 2023
▼ -47.8% vs prior (46)
Hit-and-run crashes saw a significant decrease, falling from 46 in July 2022 to 24 in July 2023, representing a 47.8% reduction. Consequently, the hit-and-run rate declined from 12.8% of all crashes in the prior period to 6.9% in the current period. This indicates a positive trend in reducing the incidence of hit-and-run incidents.
Vulnerable Road User Casualties
1
Pedestrians Killed
0
Cyclists Killed
1
Motorists Killed
5
Pedestrians Injured
4
Cyclists Injured
186
Motorists Injured
Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2023-07-01 to 2023-07-31 · 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 Friday (69 crashes) in July 2022 to Monday (56 crashes) in July 2023. Similarly, the peak hour changed from 4 p.m. (42 crashes) in the prior year to 8 a.m. (27 crashes) in the current year. This indicates a shift in when crashes are most concentrated, moving from late afternoon on a weekday to morning on a different weekday.
Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2023-07-01 to 2023-07-31 · Crash date field aggregated by weekday
Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2023-07-01 to 2023-07-31 · Crash time field aggregated by hour (0-23)
Crash Severity Breakdown
The fatal crash rate increased from 0% in July 2022 to 0.58% in July 2023, with 2 fatal crashes occurring in the current period compared to none in the prior period. Serious injury crashes (severity 'A') decreased from 9 (2.5% share) to 5 (1.4% share), while minor injury crashes (severity 'B') increased from 70 (19.4% share) to 82 (23.7% share). Possible injury crashes (severity 'C') decreased from 72 (20% share) to 45 (13% share), and crashes with no injury ('O') saw an increase in their share from 52.5% to 57.2%.
Outcome by Severity (Crash Events)
Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2023-07-01 to 2023-07-31 · KABCO injury classification scale
Severity Distribution (Crash Events)
Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2023-07-01 to 2023-07-31 · Most severe injury per crash record
Top Contributing Factors
The count of crashes attributed to 'Inattention' decreased by 28, from 112 in July 2022 to 84 in July 2023. Conversely, 'No improper driving' as a factor increased by 29 crashes, from 20 to 49. 'Failed to yield right of way' also saw a reduction of 15 crashes, dropping from 70 to 55, while 'Distracted' driving increased by 7 crashes, from 6 to 13. 'Exceeded authorized speed limit' increased by 5 crashes, from 4 to 9.
Officer-Reported Primary Contributing Cause
Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2023-07-01 to 2023-07-31 · Officer-reported primary contributory cause per crash
Road & Environmental Conditions
Crashes occurring in 'Clear' weather conditions decreased from 313 in July 2022 to 263 in July 2023, while crashes in 'Rain' conditions increased from 10 to 29. The number of crashes during 'Daylight' decreased from 275 to 264, but crashes in 'Dark - lighted roadway' conditions increased from 64 to 66. Regarding road surface, crashes on 'Dry' roads decreased from 326 to 286, while those on 'Wet' roads increased from 30 to 60.
Weather
Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2023-07-01 to 2023-07-31 · Weather condition at time of crash
Lighting
Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2023-07-01 to 2023-07-31 · Lighting condition field
Road Surface
Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2023-07-01 to 2023-07-31 · Road surface condition field
Vehicles & Demographics
The total number of persons involved in crashes decreased from 940 to 867 year-over-year. While 'HONDA' remained the top vehicle make, its count decreased from 112 to 97. 'TOYOTA' maintained its second position with 89 vehicles in both periods. There was a notable decrease in persons aged 26-34, from 161 to 139, and a slight increase in the 35-44 age group, from 142 to 147.
Top Vehicle Makes (645 vehicles)
Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2023-07-01 to 2023-07-31 · Vehicle unit records
87 persons with unknown or unrecorded age excluded from age chart.
Sex Distribution (773 persons with recorded sex)
Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2023-07-01 to 2023-07-31 · Person-level records linked to crash events
Speed Limit Zones
Crashes in the 25 mph speed zone decreased from 102 to 97, and in the 30 mph zone, they decreased from 138 to 125. However, crashes in the 55 mph speed zone increased from 12 to 23. Notably, there were no fatalities reported in any speed zone in July 2022, but in July 2023, one fatal crash occurred in a 30 mph zone and another in a 55 mph zone, with the latter having a fatal rate of 4.348%.
Fatal crashes by zone: 30 mph: 1 of 125 (0.8%) · 55 mph: 1 of 23 (4.348%)
Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2023-07-01 to 2023-07-31 · 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: 2023-07-01 through 2023-07-31
- Report generated: June 21, 2026
Data Coverage
- Reporting period: 2023-07-01 through 2023-07-31 (31 days)
- Geographic scope: SPRINGFIELD, MA
- Total crash records analyzed: 346
- Total persons involved: 867
- Total vehicles involved: 645
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: July 2023." Published June 21, 2026. Reporting period: 2023-07-01 to 2023-07-31. Data source: Massachusetts Crash Data (MassDOT CDV), Arcgis_yearly Open Data. Available at: https://thatcarhitme.com/crash-data/massachusetts/springfield/july-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: 2023-07-01 – 2023-07-31
Generated: June 21, 2026 · All rights reserved