ThatCarHitMe.com
An Injuria.ai Company
YEAR-OVER-YEAR CRASH REPORT · MASSACHUSETTS, MA · JULY 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/statewide/july-2025-report
Monthly Traffic Safety Analysis
10,672 CRASHES IN
MASSACHUSETTS, MA
JULY 2025
In July 2025, there were 10,672 total crashes, a 1.5% increase from the 10,519 crashes recorded in July 2024. During this period, total fatalities rose from 34 to 35, and total injuries increased by 3.2% from 3,699 to 3,817. A notable year-over-year change was the 7.3% increase in hit-and-run incidents, which rose from 981 to 1,053.
10,672
▲ 1.5%was 10,519
Total Crash Events
35
▲ 2.9%was 34
Persons Killed
3,817
▲ 3.2%was 3,699
Persons Injured
1,053
▲ 7.3%was 981
Hit-and-Run Crashes
Note: "Persons Killed" (35) counts individual fatalities across all crash events. "Fatal" in the severity table below (32) counts crash events where at least one fatality occurred. A single crash can result in multiple fatalities. 465 crashes with unreported severity are not shown in the severity breakdown.
Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2025-07-01 to 2025-07-31 · Aggregate counts from crash, person, and vehicle records
Trend Summary
Crash data from July indicates a slight upward trend compared to the same month last year. Total crashes increased by 1.5%, rising from 10,519 in July 2024 to 10,672 in July 2025. Similarly, the number of people injured grew by 3.2%, and the number of fatalities increased from 34 to 35.
1,053
Hit-and-Run Crashes — July 2025
▲ 7.3% vs prior (981)
Hit-and-run incidents increased in both count and as a proportion of total crashes compared to the previous year. The number of hit-and-run crashes rose by 7.3%, from 981 in July 2024 to 1,053 in July 2025. This pushed the hit-and-run rate up from 9.3% to 9.9% of all crashes, indicating an upward trend for this type of incident.
Vulnerable Road User Casualties
3
Pedestrians Killed
0
Cyclists Killed
32
Motorists Killed
0
Other Killed
103
Pedestrians Injured
168
Cyclists Injured
3,497
Motorists Injured
49
Other Injured
Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2025-07-01 to 2025-07-31 · Mode classified from person records (driver/passenger → motorist; pedestrian; bicyclist → cyclist; in-line skater / unspecified → other)
When Crashes Happen
The temporal patterns of crashes showed some shifts between the two periods. While the peak hour for crashes remained 4 p.m. in both July 2024 (871 crashes) and July 2025 (945 crashes), the peak day of the week shifted from Monday (1,844 crashes) to Tuesday (1,845 crashes). Notably, Thursday crashes increased significantly from 1,299 in the prior year to 1,841 in the current period, becoming the second-busiest day for collisions.
Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2025-07-01 to 2025-07-31 · Crash date field aggregated by weekday
Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2025-07-01 to 2025-07-31 · Crash time field aggregated by hour (0-23)
Crash Severity Breakdown
The overall severity of crashes showed a slight increase year-over-year. The proportion of fatal crashes remained stable at 0.3% for both periods, with the count of fatal incidents rising from 31 to 32. Crashes resulting in serious injuries increased from 235 (a 2.2% share) to 251 (a 2.4% share), and minor injury crashes grew from 1,665 (a 15.8% share) to 1,796 (a 16.8% share).
Severity is per crash event (most severe injury). 32 fatal crash events resulted in 35 persons killed.
Outcome by Severity (Crash Events)
Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2025-07-01 to 2025-07-31 · KABCO injury classification scale
Severity Distribution (Crash Events)
Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2025-07-01 to 2025-07-31 · Most severe injury per crash record
Top Contributing Factors
The leading contributing factors for crashes remained consistent year-over-year, with 'Inattention' (1,559 crashes), 'Failed to yield right of way' (1,215 crashes), and 'Followed too closely' (1,028 crashes) ranking as the top driver-related causes in July 2025. The count of crashes attributed to 'Failed to yield right of way' increased by 6.9% from 1,137 in the prior year. In contrast, crashes where a driver was 'Distracted' decreased in count by 14.2%, falling from 254 incidents to 218.
Officer-Reported Primary Contributing Cause
Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2025-07-01 to 2025-07-31 · Officer-reported primary contributory cause per crash
Road & Environmental Conditions
Crash conditions remained largely stable compared to the previous year, with the vast majority of incidents occurring in favorable conditions. In July 2025, 90.4% of crashes happened on dry roads and 78.9% occurred in daylight, proportions nearly identical to July 2024 (89.9% and 79.4%, respectively). The share of crashes occurring in clear weather conditions increased from 79.3% in the prior year to 83.4% in the current period.
Weather
Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2025-07-01 to 2025-07-31 · Weather condition at time of crash
Lighting
Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2025-07-01 to 2025-07-31 · Lighting condition field
Road Surface
Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2025-07-01 to 2025-07-31 · Road surface condition field
Vehicles & Demographics
The top five vehicle makes involved in crashes—Toyota, Honda, Ford, Chevrolet, and Nissan—remained unchanged in their rankings from the previous year. Analysis of the age distribution of persons involved in crashes reveals a notable shift in the 65+ age group. The number of individuals in this demographic involved in crashes increased by 11.6%, from 2,757 in July 2024 to 3,076 in July 2025, making it the third-largest group involved, up from fifth-largest in the prior year.
Top Vehicle Makes (20,266 vehicles)
Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2025-07-01 to 2025-07-31 · Vehicle unit records
2,820 persons with unknown or unrecorded age excluded from age chart.
Sex Distribution (22,336 persons with recorded sex)
Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2025-07-01 to 2025-07-31 · Person-level records linked to crash events
Speed Limit Zones
A notable shift occurred in the distribution of crashes by speed limit, with a 16.7% increase in incidents within 25 mph zones, rising from 2,246 to 2,621 year-over-year. In contrast, crashes in 30 mph and 35 mph zones saw a decrease. The location of fatal crashes also shifted toward higher speed zones; in July 2024, the most fatalities occurred in 30 mph (8 deaths) and 35 mph (9 deaths) zones, whereas in July 2025, 40 mph and 65 mph zones each recorded 6 fatalities.
Fatal crashes by zone: 25 mph: 4 of 2,621 (0.153%) · 30 mph: 4 of 2,686 (0.149%) · 35 mph: 4 of 1,254 (0.319%) · 40 mph: 6 of 790 (0.759%) · 45 mph: 4 of 342 (1.17%) · 50 mph: 2 of 236 (0.847%) · 55 mph: 1 of 413 (0.242%) · 65 mph: 6 of 631 (0.951%)
Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2025-07-01 to 2025-07-31 · 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: 2025-07-01 through 2025-07-31
- Report generated: June 21, 2026
Data Coverage
- Reporting period: 2025-07-01 through 2025-07-31 (31 days)
- Geographic scope: massachusetts, MA
- Total crash records analyzed: 10,672
- Total persons involved: 25,369
- Total vehicles involved: 20,266
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). "massachusetts, MA Crash Intelligence Report: July 2025." Published June 21, 2026. Reporting period: 2025-07-01 to 2025-07-31. Data source: Massachusetts Crash Data (MassDOT CDV), Arcgis_yearly Open Data. Available at: https://thatcarhitme.com/crash-data/massachusetts/statewide/july-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: 2025-07-01 – 2025-07-31
Generated: June 21, 2026 · All rights reserved