ThatCarHitMe.com
An Injuria.ai Company
YEAR-OVER-YEAR CRASH REPORT · MASSACHUSETTS, MA · JUNE 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/june-2024-report
Monthly Traffic Safety Analysis
11,660 CRASHES IN
MASSACHUSETTS, MA
JUNE 2024
In June 2024, there were 11,660 total crashes, a 2.2% increase from the 11,413 crashes recorded in June 2023. The most significant year-over-year change was a 55% rise in total fatalities, which increased from 20 in the prior period to 31 in the current period. Total injuries also saw a slight increase of 2.1%, from 3,692 to 3,770.
11,660
▲ 2.2%was 11,413
Total Crash Events
31
▲ 55.0%was 20
Persons Killed
3,770
▲ 2.1%was 3,692
Persons Injured
1,141
▲ 6.3%was 1,073
Hit-and-Run Crashes
Note: "Persons Killed" (31) counts individual fatalities across all crash events. "Fatal" in the severity table below (30) counts crash events where at least one fatality occurred. A single crash can result in multiple fatalities. 497 crashes with unreported severity are not shown in the severity breakdown.
Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2024-06-01 to 2024-06-30 · Aggregate counts from crash, person, and vehicle records
Trend Summary
Crash data for June indicates a slight upward trend compared to the same month last year. Total crashes rose by 2.2%, from 11,413 in June 2023 to 11,660 in June 2024. This was accompanied by a 2.1% increase in injuries and a notable 55% increase in fatalities year-over-year.
1,141
Hit-and-Run Crashes — June 2024
▲ 6.3% vs prior (1,073)
The incidence of hit-and-run crashes increased in June 2024 compared to the same month in the previous year. The total count of hit-and-run incidents rose from 1,073 to 1,141. This corresponds to an increase in the hit-and-run rate, which climbed from 9.4% to 9.8% of all crashes.
Vulnerable Road User Casualties
6
Pedestrians Killed
2
Cyclists Killed
22
Motorists Killed
1
Other Killed
110
Pedestrians Injured
159
Cyclists Injured
3,450
Motorists Injured
51
Other Injured
Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2024-06-01 to 2024-06-30 · 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 June 2023 and June 2024. The peak day for crashes moved from Friday (2,139 crashes) in the prior year to Saturday (1,860 crashes) in the current year. The peak hour for collisions remained unchanged at 3 PM for both periods, though the volume of crashes at that hour decreased from 1,012 to 939.
Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2024-06-01 to 2024-06-30 · Crash date field aggregated by weekday
Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2024-06-01 to 2024-06-30 · Crash time field aggregated by hour (0-23)
Crash Severity Breakdown
Year-over-year data shows an increase in the most severe crash outcomes. The number of fatal crashes rose from 19 in June 2023 to 30 in June 2024, and the corresponding fatal crash rate increased from 0.17% to 0.26%. The count of minor injury crashes also grew from 1,623 to 1,757. Meanwhile, serious injury crashes remained nearly unchanged, with 216 incidents compared to 217 in the prior year.
Severity is per crash event (most severe injury). 30 fatal crash events resulted in 31 persons killed.
Outcome by Severity (Crash Events)
Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2024-06-01 to 2024-06-30 · KABCO injury classification scale
Severity Distribution (Crash Events)
Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2024-06-01 to 2024-06-30 · Most severe injury per crash record
Top Contributing Factors
The leading contributing factors for crashes remained consistent year-over-year, with 'No improper driving,' 'Inattention,' and 'Failed to yield right of way' as the top three in both periods. However, the count for several factors shifted; crashes attributed to 'Inattention' increased by 5.7% from 1,606 to 1,697. Conversely, incidents involving 'Followed too closely' decreased by 1.1% from 1,140 to 1,127. Notably, crashes where 'Glare' was a factor saw a significant percentage increase in count, rising from 19 to 48 incidents.
Officer-Reported Primary Contributing Cause
Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2024-06-01 to 2024-06-30 · Officer-reported primary contributory cause per crash
Road & Environmental Conditions
Driving conditions reported in crashes differed between the two periods. In June 2024, 90.0% of crashes occurred on dry roads, up from 81.3% in June 2023, while crashes on wet roads decreased from 16.8% to 8.4% of the total. The share of crashes happening in 'Dark - roadway not lighted' conditions increased from 3.6% of all crashes in the prior year to 4.4% in the current year.
Weather
Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2024-06-01 to 2024-06-30 · Weather condition at time of crash
Lighting
Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2024-06-01 to 2024-06-30 · Lighting condition field
Road Surface
Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2024-06-01 to 2024-06-30 · Road surface condition field
Vehicles & Demographics
The composition of vehicles and persons involved in crashes remained largely stable year-over-year. The top five vehicle makes involved in collisions were identical in both June 2023 and June 2024, led by Toyota, Honda, and Ford. Analysis of persons involved shows a consistent age distribution, although the 16-20 age group's representation increased slightly from 10.2% to 10.9% of all persons involved.
Top Vehicle Makes (21,642 vehicles)
Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2024-06-01 to 2024-06-30 · Vehicle unit records
2,743 persons with unknown or unrecorded age excluded from age chart.
Sex Distribution (23,885 persons with recorded sex)
Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2024-06-01 to 2024-06-30 · Person-level records linked to crash events
Speed Limit Zones
Crash distribution across speed zones saw minor changes, with an increase in incidents in 25 mph zones (from 2,215 to 2,433) and 30 mph zones (from 2,973 to 3,084). Fatal crashes became more frequent in several zones year-over-year. Notably, the number of fatal crashes in 25 mph zones rose from one to five, and fatal crashes in 40 mph zones increased from two to six.
Fatal crashes by zone: 25 mph: 5 of 2,433 (0.206%) · 30 mph: 4 of 3,084 (0.13%) · 35 mph: 6 of 1,528 (0.393%) · 40 mph: 6 of 844 (0.711%) · 45 mph: 2 of 405 (0.494%) · 50 mph: 2 of 280 (0.714%) · 55 mph: 3 of 614 (0.489%) · 60 mph: 1 of 71 (1.408%) · 65 mph: 1 of 815 (0.123%)
Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2024-06-01 to 2024-06-30 · 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: 2024-06-01 through 2024-06-30
- Report generated: June 21, 2026
Data Coverage
- Reporting period: 2024-06-01 through 2024-06-30 (30 days)
- Geographic scope: massachusetts, MA
- Total crash records analyzed: 11,660
- Total persons involved: 27,112
- Total vehicles involved: 21,642
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: June 2024." Published June 21, 2026. Reporting period: 2024-06-01 to 2024-06-30. Data source: Massachusetts Crash Data (MassDOT CDV), Arcgis_yearly Open Data. Available at: https://thatcarhitme.com/crash-data/massachusetts/statewide/june-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: 2024-06-01 – 2024-06-30
Generated: June 21, 2026 · All rights reserved