ThatCarHitMe.com
An Injuria.ai Company
YEAR-OVER-YEAR CRASH REPORT · SPRINGFIELD, MA · JULY 2024
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-2024-report
Monthly Traffic Safety Analysis
183 CRASHES IN
SPRINGFIELD, MA
JULY 2024
In July 2024, Springfield, MA recorded 183 total crashes, a significant decrease of 47.11% compared to the 346 crashes reported in July 2023. Despite this overall reduction in crash incidents, total fatalities increased by 100%, rising from 2 in the prior period to 4 in the current period.
183
▼ -47.1%was 346
Total Crash Events
4
▲ 100.0%was 2
Persons Killed
89
▼ -54.4%was 195
Persons Injured
41
▲ 70.8%was 24
Hit-and-Run Crashes
Note: "Persons Killed" (4) 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 · 2024-07-01 to 2024-07-31 · Aggregate counts from crash, person, and vehicle records
Trend Summary
The overall trend for July shows a substantial decrease in crash incidents year-over-year, with total crashes falling by 47.11% from 346 to 183. Total injuries also saw a notable decline of 54.36%, decreasing from 195 to 89. However, total fatalities increased from 2 in July 2023 to 4 in July 2024, representing a 100% rise.
41
Hit-and-Run Crashes — July 2024
▲ 70.8% vs prior (24)
Hit-and-run crashes increased significantly by 70.83% in count, rising from 24 incidents in July 2023 to 41 in July 2024. Consequently, the hit-and-run rate more than tripled, increasing from 6.9% of total crashes in the prior period to 22.4% in the current period.
Vulnerable Road User Casualties
0
Pedestrians Killed
0
Cyclists Killed
4
Motorists Killed
0
Other Killed
6
Pedestrians Injured
4
Cyclists Injured
78
Motorists Injured
1
Other Injured
Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2024-07-01 to 2024-07-31 · Mode classified from person records (driver/passenger → motorist; pedestrian; bicyclist → cyclist; in-line skater / unspecified → other)
When Crashes Happen
The peak day for crashes remained Monday in both periods, though the count decreased from 56 in July 2023 to 34 in July 2024. The peak hour for crashes shifted from 8 AM with 27 incidents in July 2023 to 3 PM with 18 incidents in July 2024. This indicates a change in the most crash-prone time of day.
Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2024-07-01 to 2024-07-31 · Crash date field aggregated by weekday
Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2024-07-01 to 2024-07-31 · Crash time field aggregated by hour (0-23)
Crash Severity Breakdown
While total crashes and injuries decreased, the fatal crash rate increased from 0.58% in July 2023 to 2.19% in July 2024. The proportion of fatal crashes (K) rose from 0.6% to 2.2% of all crashes. Serious injury (A) crashes maintained a count of 5 in both periods, but their proportion of total crashes increased from 1.4% to 2.7%.
Outcome by Severity (Crash Events)
Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2024-07-01 to 2024-07-31 · KABCO injury classification scale
Severity Distribution (Crash Events)
Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2024-07-01 to 2024-07-31 · Most severe injury per crash record
Top Contributing Factors
Among contributing factors, 'Inattention' decreased by 52 incidents (a 61.9% reduction in count), moving from the top factor with 84 incidents in July 2023 to 32 in July 2024. 'Failed to yield right of way' also saw a significant decrease of 35 incidents (a 63.6% reduction in count), dropping from 55 to 20. Conversely, 'No improper driving' decreased only slightly by 1 incident (a 2.04% reduction in count), becoming the most frequent factor in July 2024 with 48 incidents, compared to 49 in the prior period.
Officer-Reported Primary Contributing Cause
Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2024-07-01 to 2024-07-31 · Officer-reported primary contributory cause per crash
Road & Environmental Conditions
The proportions of crashes occurring under clear weather and daylight conditions remained relatively consistent year-over-year. However, there was a shift in road surface conditions, with the proportion of crashes on dry roads increasing from 82.7% in July 2023 to 86.3% in July 2024. Conversely, the proportion of crashes on wet roads decreased from 17.3% to 13.1% between the two periods.
Weather
Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2024-07-01 to 2024-07-31 · Weather condition at time of crash
Lighting
Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2024-07-01 to 2024-07-31 · Lighting condition field
Road Surface
Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2024-07-01 to 2024-07-31 · Road surface condition field
Vehicles & Demographics
The total number of vehicles involved in crashes decreased by 47.9%, from 645 in July 2023 to 336 in July 2024. Honda and Toyota remained the top two vehicle makes involved in crashes, though their counts decreased by 51.5% and 49.4% respectively. All age groups saw a decrease in the number of persons involved, generally aligning with the overall reduction in total crashes, without significant shifts in their proportional representation.
Top Vehicle Makes (336 vehicles)
Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2024-07-01 to 2024-07-31 · Vehicle unit records
68 persons with unknown or unrecorded age excluded from age chart.
Sex Distribution (384 persons with recorded sex)
Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2024-07-01 to 2024-07-31 · Person-level records linked to crash events
Speed Limit Zones
Crashes in 25 mph zones decreased by 50.5% (from 97 to 48), and in 30 mph zones by 56.8% (from 125 to 54). Fatal crashes occurred in 20, 30, 35, and 50 mph zones in July 2024, whereas in July 2023, they were recorded only in 30 mph and 55 mph zones. The 30 mph zone maintained 1 fatal crash despite a significant reduction in total crashes for that speed limit.
Fatal crashes by zone: 20 mph: 1 of 7 (14.286%) · 30 mph: 1 of 54 (1.852%) · 35 mph: 1 of 37 (2.703%) · 50 mph: 1 of 4 (25%)
Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2024-07-01 to 2024-07-31 · 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: 2024-07-01 through 2024-07-31
- Report generated: June 21, 2026
Data Coverage
- Reporting period: 2024-07-01 through 2024-07-31 (31 days)
- Geographic scope: SPRINGFIELD, MA
- Total crash records analyzed: 183
- Total persons involved: 460
- Total vehicles involved: 336
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 2024." Published June 21, 2026. Reporting period: 2024-07-01 to 2024-07-31. Data source: Massachusetts Crash Data (MassDOT CDV), Arcgis_yearly Open Data. Available at: https://thatcarhitme.com/crash-data/massachusetts/springfield/july-2024-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: 2024-07-01 – 2024-07-31
Generated: June 21, 2026 · All rights reserved