ThatCarHitMe.com
An Injuria.ai Company
YEAR-OVER-YEAR CRASH REPORT · MASSACHUSETTS, MA · JUNE 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/statewide/june-2023-report
Monthly Traffic Safety Analysis
11,413 CRASHES IN
MASSACHUSETTS, MA
JUNE 2023
In June 2023, there were 11,413 total crashes, a 2.2% increase from the 11,169 crashes recorded in June 2022. Despite the rise in total collisions, the most notable year-over-year shift was a significant 54.5% decrease in traffic fatalities, which fell from 44 in the prior period to 20 in the current period.
11,413
▲ 2.2%was 11,169
Total Crash Events
20
▼ -54.5%was 44
Persons Killed
3,692
▲ 2.5%was 3,603
Persons Injured
1,073
▲ 25.6%was 854
Hit-and-Run Crashes
Note: "Persons Killed" (20) counts individual fatalities across all crash events. "Fatal" in the severity table below (19) counts crash events where at least one fatality occurred. A single crash can result in multiple fatalities. 742 crashes with unreported severity are not shown in the severity breakdown.
Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2023-06-01 to 2023-06-30 · Aggregate counts from crash, person, and vehicle records
Trend Summary
Overall, traffic collisions showed a slight upward trend, increasing by 2.2% from 11,169 in June 2022 to 11,413 in June 2023. While the total number of crashes rose, the number of fatalities decreased substantially from 44 to 20. The count of persons injured remained relatively stable, increasing by 2.5% from 3,603 to 3,692.
1,073
Hit-and-Run Crashes — June 2023
▲ 25.6% vs prior (854)
The number of hit-and-run crashes increased by 25.6%, rising from 854 in June 2022 to 1,073 in June 2023. This was accompanied by an increase in the hit-and-run rate, which grew from 7.6% to 9.4% of all crashes. The data indicates an upward trend in both the absolute count and the proportion of crashes classified as hit-and-run.
Vulnerable Road User Casualties
2
Pedestrians Killed
0
Cyclists Killed
18
Motorists Killed
0
Other Killed
105
Pedestrians Injured
130
Cyclists Injured
3,441
Motorists Injured
16
Other Injured
Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2023-06-01 to 2023-06-30 · Mode classified from person records (driver/passenger → motorist; pedestrian; bicyclist → cyclist; in-line skater / unspecified → other)
When Crashes Happen
The temporal pattern of crashes shifted year-over-year. The peak day for collisions moved from Wednesday (1,885 crashes) in June 2022 to Friday (2,139 crashes) in June 2023. Similarly, the peak hour for crashes occurred slightly earlier, shifting from the 4 PM hour in the prior period to the 3 PM hour in the current period, which saw 1,012 incidents.
Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2023-06-01 to 2023-06-30 · Crash date field aggregated by weekday
Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2023-06-01 to 2023-06-30 · Crash time field aggregated by hour (0-23)
Crash Severity Breakdown
There was a significant decrease in crash severity compared to the previous year. The number of fatal crashes dropped from 38 to 19, and the fatal crash rate was halved, falling from 0.34% to 0.17%. The proportion of crashes resulting in serious injury remained stable at approximately 2.0%, while the share of minor injury crashes increased slightly from 13.9% to 14.2% of all incidents.
Severity is per crash event (most severe injury). 19 fatal crash events resulted in 20 persons killed.
Outcome by Severity (Crash Events)
Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2023-06-01 to 2023-06-30 · KABCO injury classification scale
Severity Distribution (Crash Events)
Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2023-06-01 to 2023-06-30 · Most severe injury per crash record
Top Contributing Factors
The top three contributing factors remained consistent across both periods: 'No improper driving,' 'Inattention,' and 'Failed to yield right of way.' While the counts for these leading factors saw minor decreases, crashes attributed to 'Followed too closely' increased by 125 incidents, from 1,015 to 1,140. Notably, crashes involving 'Driving too fast for conditions' saw a 62.4% increase in count, rising from 109 to 177 year-over-year.
Officer-Reported Primary Contributing Cause
Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2023-06-01 to 2023-06-30 · 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 significant increase in collisions under adverse weather and road conditions. The number of crashes reported during 'Rain' more than doubled from 388 to 841, and incidents on 'Wet' road surfaces increased by 128.8% from 839 to 1,920. Consequently, the share of crashes on dry roads decreased from 91.3% in June 2022 to 81.3% in June 2023.
Weather
Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2023-06-01 to 2023-06-30 · Weather condition at time of crash
Lighting
Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2023-06-01 to 2023-06-30 · Lighting condition field
Road Surface
Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2023-06-01 to 2023-06-30 · Road surface condition field
Vehicles & Demographics
The top three vehicle makes involved in collisions—Toyota, Honda, and Ford—were the same in both June 2022 and June 2023, with each seeing a slight increase in total counts. An analysis of persons involved in crashes shows a demographic shift, with a 9.8% increase in the 0-15 age group (from 1,445 to 1,587) and a 7.5% increase in the 35-44 age group (from 3,664 to 3,938). Conversely, the number of persons aged 21-25 and 55-64 involved in crashes saw a slight decrease.
Top Vehicle Makes (21,270 vehicles)
Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2023-06-01 to 2023-06-30 · Vehicle unit records
3,017 persons with unknown or unrecorded age excluded from age chart.
Sex Distribution (23,516 persons with recorded sex)
Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2023-06-01 to 2023-06-30 · Person-level records linked to crash events
Speed Limit Zones
The 30 mph speed zone remained the most common location for crashes in both periods, though the count decreased slightly from 3,048 to 2,973. Crashes in 25 mph zones increased by 11%, from 1,995 to 2,215. There was a notable decrease in fatal crashes in lower speed zones, with fatalities in 25 mph zones dropping from 6 to 1. In June 2023, the 35 mph zone accounted for the most fatalities, with 6 deaths recorded.
Fatal crashes by zone: 20 mph: 1 of 319 (0.313%) · 25 mph: 1 of 2,215 (0.045%) · 30 mph: 3 of 2,973 (0.101%) · 35 mph: 6 of 1,523 (0.394%) · 40 mph: 2 of 773 (0.259%) · 45 mph: 2 of 372 (0.538%) · 50 mph: 1 of 236 (0.424%) · 55 mph: 1 of 563 (0.178%) · 65 mph: 2 of 858 (0.233%)
Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2023-06-01 to 2023-06-30 · 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: 2023-06-01 through 2023-06-30
- Report generated: June 21, 2026
Data Coverage
- Reporting period: 2023-06-01 through 2023-06-30 (30 days)
- Geographic scope: massachusetts, MA
- Total crash records analyzed: 11,413
- Total persons involved: 27,042
- Total vehicles involved: 21,270
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 2023." Published June 21, 2026. Reporting period: 2023-06-01 to 2023-06-30. Data source: Massachusetts Crash Data (MassDOT CDV), Arcgis_yearly Open Data. Available at: https://thatcarhitme.com/crash-data/massachusetts/statewide/june-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: 2023-06-01 – 2023-06-30
Generated: June 21, 2026 · All rights reserved