ThatCarHitMe.com
An Injuria.ai Company
YEAR-OVER-YEAR CRASH REPORT · MASSACHUSETTS, MA · SEPTEMBER 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/september-2022-report
Monthly Traffic Safety Analysis
11,266 CRASHES IN
MASSACHUSETTS, MA
SEPTEMBER 2022
In September 2022, there were 11,266 total crashes, a 1.3% decrease from the 11,414 crashes recorded in September 2021. Despite the slight overall decline in collisions, there was a notable increase in crashes involving vulnerable road users. Crashes involving pedestrians rose from 146 to 189, and bicycle-related crashes increased from 131 to 183 year-over-year.
11,266
▼ -1.3%was 11,414
Total Crash Events
38
▼ -2.6%was 39
Persons Killed
3,706
▲ 4.0%was 3,562
Persons Injured
870
▲ 3.4%was 841
Hit-and-Run Crashes
Note: "Persons Killed" (38) counts individual fatalities across all crash events. "Fatal" in the severity table below (37) counts crash events where at least one fatality occurred. A single crash can result in multiple fatalities. 882 crashes with unreported severity are not shown in the severity breakdown.
Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2022-09-01 to 2022-09-30 · Aggregate counts from crash, person, and vehicle records
Trend Summary
Overall crash trends show a slight decrease between September 2021 and September 2022, with total collisions falling by 1.3% from 11,414 to 11,266. However, the number of people injured in these crashes increased by 4.0% year-over-year, rising from 3,562 to 3,706. The number of fatalities remained nearly constant, with 38 deaths in the current period compared to 39 in the prior period.
870
Hit-and-Run Crashes — September 2022
▲ 3.4% vs prior (841)
The number of hit-and-run incidents increased from 841 in September 2021 to 870 in September 2022. This represents an upward trend in the hit-and-run rate, which rose from 7.4% to 7.7% of all crashes. The data indicates a year-over-year increase in both the absolute count and the proportional share of crashes where a driver left the scene.
Vulnerable Road User Casualties
12
Pedestrians Killed
1
Cyclists Killed
25
Motorists Killed
0
Other Killed
147
Pedestrians Injured
152
Cyclists Injured
3,378
Motorists Injured
29
Other Injured
Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2022-09-01 to 2022-09-30 · 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 year-over-year. The peak hour for collisions remained consistent at 3 PM for both September 2021 and September 2022. However, the peak day for crashes shifted from Wednesday (2,011 crashes) in the prior period to Friday (2,045 crashes) in the current period. The afternoon hours between 2 PM and 5 PM consistently accounted for the highest volume of crashes in both years.
Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2022-09-01 to 2022-09-30 · Crash date field aggregated by weekday
Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2022-09-01 to 2022-09-30 · Crash time field aggregated by hour (0-23)
Crash Severity Breakdown
The number of fatal crashes remained unchanged at 37 for both September 2021 and September 2022. However, the severity of non-fatal crashes increased, with serious injury crashes rising from 197 to 242 and minor injury crashes increasing from 1,501 to 1,593. Consequently, the share of crashes resulting in a serious injury grew from 1.7% to 2.1% of all collisions year-over-year.
Severity is per crash event (most severe injury). 37 fatal crash events resulted in 38 persons killed.
Outcome by Severity (Crash Events)
Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2022-09-01 to 2022-09-30 · KABCO injury classification scale
Severity Distribution (Crash Events)
Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2022-09-01 to 2022-09-30 · 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. The count of crashes attributed to 'Inattention' decreased by 3.9%, from 1,723 in September 2021 to 1,655 in September 2022. In contrast, crashes where a driver 'Failed to yield right of way' increased in count from 1,139 to 1,170, and those involving 'Exceeded authorized speed limit' rose in count from 107 to 124.
Officer-Reported Primary Contributing Cause
Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2022-09-01 to 2022-09-30 · Officer-reported primary contributory cause per crash
Road & Environmental Conditions
Crash conditions remained broadly stable between September 2021 and September 2022. The vast majority of collisions in both periods occurred in 'Daylight' (8,205 vs. 8,216) and on 'Dry' road surfaces (9,431 vs. 9,446). There was a slight decrease in the number of crashes occurring during 'Rain' (from 889 to 800) and on 'Wet' roads (from 1,803 to 1,655). Crashes in 'Dark - lighted roadway' conditions also saw a small decline from 1,996 to 1,884.
Weather
Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2022-09-01 to 2022-09-30 · Weather condition at time of crash
Lighting
Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2022-09-01 to 2022-09-30 · Lighting condition field
Road Surface
Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2022-09-01 to 2022-09-30 · Road surface condition field
Vehicles & Demographics
The top three vehicle makes involved in crashes—Toyota, Honda, and Ford—remained unchanged in rank and saw very similar involvement counts between September 2021 and September 2022. Analysis of persons involved shows a demographic shift, with a decrease in the number of individuals in the 26-34 age group from 4,711 to 4,438. Conversely, the 65+ age group saw an increased involvement, rising from 2,664 individuals in the prior period to 2,818 in the current period.
Top Vehicle Makes (21,042 vehicles)
Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2022-09-01 to 2022-09-30 · Vehicle unit records
2,954 persons with unknown or unrecorded age excluded from age chart.
Sex Distribution (22,906 persons with recorded sex)
Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2022-09-01 to 2022-09-30 · Person-level records linked to crash events
Speed Limit Zones
The distribution of crashes across speed zones shifted year-over-year, with a notable increase in collisions within 25 mph zones from 1,933 to 2,143. Correspondingly, crashes in 30 mph and 35 mph zones decreased. The number of fatal crashes occurring in 25 mph zones tripled, rising from 2 to 6, while fatalities in 35 mph zones were nearly halved, dropping from 11 to 6.
Fatal crashes by zone: 20 mph: 1 of 315 (0.317%) · 25 mph: 6 of 2,143 (0.28%) · 30 mph: 8 of 2,945 (0.272%) · 35 mph: 6 of 1,472 (0.408%) · 40 mph: 3 of 806 (0.372%) · 45 mph: 4 of 437 (0.915%) · 50 mph: 3 of 242 (1.24%) · 65 mph: 1 of 677 (0.148%)
Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2022-09-01 to 2022-09-30 · 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: 2022-09-01 through 2022-09-30
- Report generated: June 21, 2026
Data Coverage
- Reporting period: 2022-09-01 through 2022-09-30 (30 days)
- Geographic scope: massachusetts, MA
- Total crash records analyzed: 11,266
- Total persons involved: 26,258
- Total vehicles involved: 21,042
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: September 2022." Published June 21, 2026. Reporting period: 2022-09-01 to 2022-09-30. Data source: Massachusetts Crash Data (MassDOT CDV), Arcgis_yearly Open Data. Available at: https://thatcarhitme.com/crash-data/massachusetts/statewide/september-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: 2022-09-01 – 2022-09-30
Generated: June 21, 2026 · All rights reserved