ThatCarHitMe.com
An Injuria.ai Company
YEAR-OVER-YEAR CRASH REPORT · MASSACHUSETTS, MA · JUNE 2022
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-2022-report
Monthly Traffic Safety Analysis
11,169 CRASHES IN
MASSACHUSETTS, MA
JUNE 2022
In June 2022, there were 11,169 total crashes, a slight increase of 0.7% from the 11,091 crashes recorded in June 2021. While overall crash numbers and resulting injuries remained relatively stable, the data shows a notable year-over-year increase in collisions involving bicycles, which rose from 111 to 160 incidents, a 44.1% increase.
11,169
▲ 0.7%was 11,091
Total Crash Events
44
▲ 4.8%was 42
Persons Killed
3,603
▲ 0.1%was 3,599
Persons Injured
854
▲ 8.9%was 784
Hit-and-Run Crashes
Note: "Persons Killed" (44) counts individual fatalities across all crash events. "Fatal" in the severity table below (38) counts crash events where at least one fatality occurred. A single crash can result in multiple fatalities. 709 crashes with unreported severity are not shown in the severity breakdown.
Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2022-06-01 to 2022-06-30 · Aggregate counts from crash, person, and vehicle records
Trend Summary
Overall crash trends remained relatively stable year-over-year. Total crashes saw a minor increase of 0.7%, from 11,091 in June 2021 to 11,169 in June 2022. Total injuries were nearly unchanged, rising from 3,599 to 3,603, while total fatalities increased from 42 to 44.
854
Hit-and-Run Crashes — June 2022
▲ 8.9% vs prior (784)
Hit-and-run incidents increased both in absolute numbers and as a percentage of total crashes. The count of hit-and-run crashes rose from 784 in June 2021 to 854 in June 2022, an 8.9% increase. Consequently, the hit-and-run rate trended upward, rising from 7.1% to 7.6% of all crashes.
Vulnerable Road User Casualties
6
Pedestrians Killed
1
Cyclists Killed
37
Motorists Killed
0
Other Killed
106
Pedestrians Injured
142
Cyclists Injured
3,343
Motorists Injured
12
Other Injured
Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2022-06-01 to 2022-06-30 · Mode classified from person records (driver/passenger → motorist; pedestrian; bicyclist → cyclist; in-line skater / unspecified → other)
When Crashes Happen
The temporal patterns of crashes were largely consistent between the two periods. Wednesday remained the peak day for crashes in both years, though the count decreased from 1,960 to 1,885. The peak hour for collisions shifted slightly later in the afternoon, moving from the 3 p.m. hour in June 2021 (941 crashes) to the 4 p.m. hour in June 2022 (952 crashes).
Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2022-06-01 to 2022-06-30 · Crash date field aggregated by weekday
Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2022-06-01 to 2022-06-30 · Crash time field aggregated by hour (0-23)
Crash Severity Breakdown
The distribution of crash severity remained consistent year-over-year, with the fatal crash rate seeing a minor decrease from 0.36% in June 2021 to 0.34% in June 2022. This corresponded to 40 and 38 fatal crashes, respectively. The proportion of crashes resulting in any level of injury was nearly unchanged, accounting for 23.8% of all crashes in the prior period and 23.9% in the current period.
Severity is per crash event (most severe injury). 38 fatal crash events resulted in 44 persons killed.
Outcome by Severity (Crash Events)
Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2022-06-01 to 2022-06-30 · KABCO injury classification scale
Severity Distribution (Crash Events)
Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2022-06-01 to 2022-06-30 · Most severe injury per crash record
Top Contributing Factors
The top three contributing factors—Inattention, Failed to yield right of way, and Followed too closely—retained their rankings year-over-year. The count of crashes attributed to "Failed to yield right of way" increased by 12.5%, rising from 1,103 to 1,241 incidents. In contrast, crashes citing "Operating vehicle in erratic, reckless, careless, negligent or aggressive manner" saw a notable decrease in count from 425 to 362, a 14.8% reduction.
Officer-Reported Primary Contributing Cause
Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2022-06-01 to 2022-06-30 · Officer-reported primary contributory cause per crash
Road & Environmental Conditions
Crash conditions were broadly similar across both periods, with the majority of incidents occurring in clear weather on dry roads during daylight. In June 2022, 91.3% of crashes happened on dry road surfaces, up slightly from 90.2% in the prior year. Crashes during daylight hours also saw a small proportional increase from 79.2% in June 2021 to 80.4% in June 2022, while the share of crashes occurring in the rain decreased from 4.0% to 3.5%.
Weather
Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2022-06-01 to 2022-06-30 · Weather condition at time of crash
Lighting
Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2022-06-01 to 2022-06-30 · Lighting condition field
Road Surface
Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2022-06-01 to 2022-06-30 · Road surface condition field
Vehicles & Demographics
The top three vehicle makes involved in crashes—Toyota, Honda, and Ford—maintained their rankings in both June 2021 and June 2022. Regarding persons involved, the 26-34 age group was the most represented in both periods, although their count decreased from 4,306 to 4,140. A notable shift occurred in the 16-20 age group, which saw its involvement decrease by 11.1% from 3,043 individuals in the prior year to 2,705 in the current year.
Top Vehicle Makes (20,782 vehicles)
Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2022-06-01 to 2022-06-30 · Vehicle unit records
2,697 persons with unknown or unrecorded age excluded from age chart.
Sex Distribution (22,807 persons with recorded sex)
Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2022-06-01 to 2022-06-30 · Person-level records linked to crash events
Speed Limit Zones
The distribution of crashes across speed zones was similar year-over-year, with 30 mph zones accounting for the most incidents in both periods. While the total crash count in 30 mph zones decreased from 3,195 to 3,048, the number of associated fatalities in this zone dropped more significantly from 10 to 6. In higher speed zones, crashes on roads with a 65 mph limit increased from 780 to 802, but the number of fatalities remained constant at 5.
Fatal crashes by zone: 20 mph: 1 of 329 (0.304%) · 25 mph: 6 of 1,995 (0.301%) · 30 mph: 6 of 3,048 (0.197%) · 35 mph: 6 of 1,475 (0.407%) · 40 mph: 2 of 819 (0.244%) · 45 mph: 5 of 408 (1.225%) · 50 mph: 1 of 243 (0.412%) · 55 mph: 2 of 550 (0.364%) · 65 mph: 5 of 802 (0.623%)
Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2022-06-01 to 2022-06-30 · 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: 2022-06-01 through 2022-06-30
- Report generated: June 21, 2026
Data Coverage
- Reporting period: 2022-06-01 through 2022-06-30 (30 days)
- Geographic scope: massachusetts, MA
- Total crash records analyzed: 11,169
- Total persons involved: 25,889
- Total vehicles involved: 20,782
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 2022." Published June 21, 2026. Reporting period: 2022-06-01 to 2022-06-30. Data source: Massachusetts Crash Data (MassDOT CDV), Arcgis_yearly Open Data. Available at: https://thatcarhitme.com/crash-data/massachusetts/statewide/june-2022-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: 2022-06-01 – 2022-06-30
Generated: June 21, 2026 · All rights reserved