ThatCarHitMe.com
An Injuria.ai Company
YEAR-OVER-YEAR CRASH REPORT · MASSACHUSETTS, 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/statewide/july-2024-report
Monthly Traffic Safety Analysis
10,519 CRASHES IN
MASSACHUSETTS, MA
JULY 2024
In July 2024, there were 10,519 total traffic crashes, a 7.2% decrease from the 11,338 crashes recorded in July 2023. While total crashes and injuries (3,699, down from 3,927) declined, the number of fatalities increased slightly from 33 to 34. One of the most notable year-over-year shifts was a 45.2% decrease in crashes occurring on wet road surfaces.
10,519
▼ -7.2%was 11,338
Total Crash Events
34
▲ 3.0%was 33
Persons Killed
3,699
▼ -5.8%was 3,927
Persons Injured
981
▼ -9.3%was 1,082
Hit-and-Run Crashes
Note: "Persons Killed" (34) counts individual fatalities across all crash events. "Fatal" in the severity table below (31) counts crash events where at least one fatality occurred. A single crash can result in multiple fatalities. 462 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
Overall traffic safety trends showed improvement year-over-year, with total crashes falling by 7.2% from 11,338 to 10,519. This downward trend was also reflected in total injuries, which decreased by 5.8% from 3,927 to 3,699. However, the number of fatalities saw a slight increase, rising from 33 in July 2023 to 34 in July 2024.
981
Hit-and-Run Crashes — July 2024
▼ -9.3% vs prior (1,082)
The number of hit-and-run crashes decreased by 9.3% year-over-year, falling from 1,082 in July 2023 to 981 in July 2024. This reduction in count outpaced the overall decline in crashes. Consequently, the hit-and-run rate as a percentage of all crashes also saw a slight downward trend, decreasing from 9.5% to 9.3%.
Vulnerable Road User Casualties
3
Pedestrians Killed
1
Cyclists Killed
30
Motorists Killed
0
Other Killed
91
Pedestrians Injured
150
Cyclists Injured
3,414
Motorists Injured
44
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 temporal patterns of crashes remained broadly consistent year-over-year, with the peak day for crashes holding steady on Monday (1,844 in 2024 vs. 1,876 in 2023) and the peak hour remaining at 4 PM. However, there was a significant change in the weekly distribution, with crashes on Saturday and Sunday decreasing substantially in July 2024 compared to the prior year. For instance, Saturday crashes fell from 1,740 to 1,198.
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
The number of fatal crashes was identical in both periods, with 31 recorded in July 2024 and July 2023, though total fatalities rose from 33 to 34. The overall severity distribution of crashes was also stable, with injury-involved crashes making up 25.5% of the total in the current period versus 25.4% in the prior period. The absolute counts of serious injury crashes (235 vs. 260) and minor injury crashes (1,665 vs. 1,841) both decreased, consistent with the overall reduction in collisions.
Severity is per crash event (most severe injury). 31 fatal crash events resulted in 34 persons killed.
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
The top three contributing factors remained unchanged in rank and share: "No improper driving," "Inattention," and "Failed to yield right of way." The counts for these leading factors all decreased in line with the overall drop in crashes. Notably, crashes attributed to "Driving too fast for conditions" saw a significant 40.8% decrease in count, falling from 262 incidents in July 2023 to 155 in July 2024. Similarly, crashes involving a "Distracted" driver decreased in count by 18.6% year-over-year.
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
While most crashes in both periods occurred in daylight on dry roads, there was a substantial year-over-year decrease in crashes under adverse conditions. The number of crashes on wet roads fell by 45.2%, from 1,619 in July 2023 to 887 in July 2024. Correspondingly, crashes reported during rain also decreased significantly. This shift meant that a higher proportion of July 2024's crashes occurred in clear and dry conditions compared to the previous year.
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 vehicle makes most frequently involved in collisions remained consistent, with Toyota, Honda, and Ford holding the top three spots in both July 2023 and July 2024, though their incident counts decreased. The demographic profile of persons involved in crashes also showed very little change year-over-year. The proportional representation of different age groups, from children to seniors, was nearly identical across both periods, indicating no significant shift in the age of crash participants.
Top Vehicle Makes (19,699 vehicles)
Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2024-07-01 to 2024-07-31 · Vehicle unit records
2,470 persons with unknown or unrecorded age excluded from age chart.
Sex Distribution (21,864 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
The distribution of crashes across speed zones was stable year-over-year, with approximately 58% of incidents in both periods occurring in zones posted at 30 mph or less. While the total number of crashes fell across all speed zone categories, the location of fatal crashes shifted. In July 2024, there was an increase in fatal crashes in zones 50 mph or less (26, up from 23) and a decrease in fatal crashes in zones 55 mph or more (5, down from 7).
Fatal crashes by zone: 15 mph: 1 of 176 (0.568%) · 20 mph: 2 of 322 (0.621%) · 25 mph: 2 of 2,246 (0.089%) · 30 mph: 8 of 2,782 (0.288%) · 35 mph: 9 of 1,389 (0.648%) · 40 mph: 1 of 796 (0.126%) · 45 mph: 1 of 369 (0.271%) · 50 mph: 2 of 242 (0.826%) · 65 mph: 5 of 672 (0.744%)
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: massachusetts, MA
- Total crash records analyzed: 10,519
- Total persons involved: 24,743
- Total vehicles involved: 19,699
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 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/statewide/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