ThatCarHitMe.com
An Injuria.ai Company
YEAR-OVER-YEAR CRASH REPORT · MASSACHUSETTS, MA · OCTOBER 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/october-2022-report
Monthly Traffic Safety Analysis
12,313 CRASHES IN
MASSACHUSETTS, MA
OCTOBER 2022
In October 2022, there were 12,313 total crashes, a 0.8% decrease from the 12,417 crashes recorded in October 2021. Despite the slight drop in overall collisions, the number of fatalities saw a significant year-over-year increase. The total number of people killed in crashes rose from 31 in the prior period to 42 in the current period, a 35.5% increase.
12,313
▼ -0.8%was 12,417
Total Crash Events
42
▲ 35.5%was 31
Persons Killed
3,633
▼ -4.7%was 3,813
Persons Injured
1,007
▲ 7.0%was 941
Hit-and-Run Crashes
Note: "Persons Killed" (42) 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. 1,011 crashes with unreported severity are not shown in the severity breakdown.
Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2022-10-01 to 2022-10-31 · Aggregate counts from crash, person, and vehicle records
Trend Summary
Overall crash volume remained relatively stable, showing a slight year-over-year decrease of 0.8% from 12,417 incidents in October 2021 to 12,313 in October 2022. The number of injuries also declined by 4.7%. In contrast, the number of fatalities increased significantly, rising by 35.5% from 31 to 42 over the same period.
1,007
Hit-and-Run Crashes — October 2022
▲ 7.0% vs prior (941)
The number of hit-and-run incidents increased from 941 in October 2021 to 1,007 in October 2022, representing a 7.0% year-over-year rise. The hit-and-run rate, which measures the proportion of all crashes that are hit-and-runs, also trended upward. This rate increased from 7.6% in the prior period to 8.2% in the current period.
Vulnerable Road User Casualties
13
Pedestrians Killed
1
Cyclists Killed
28
Motorists Killed
0
Other Killed
141
Pedestrians Injured
101
Cyclists Injured
3,364
Motorists Injured
27
Other Injured
Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2022-10-01 to 2022-10-31 · Mode classified from person records (driver/passenger → motorist; pedestrian; bicyclist → cyclist; in-line skater / unspecified → other)
When Crashes Happen
The temporal patterns of crashes showed some year-over-year shifts. The peak hour for collisions remained unchanged at 3 PM in both October 2022 (1,037 crashes) and October 2021 (1,050 crashes). However, the day with the highest crash volume shifted from Friday (2,113 crashes) in the prior period to Saturday (1,930 crashes) in the current period.
Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2022-10-01 to 2022-10-31 · Crash date field aggregated by weekday
Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2022-10-01 to 2022-10-31 · Crash time field aggregated by hour (0-23)
Crash Severity Breakdown
Crash severity worsened year-over-year, with the number of fatal crashes increasing from 31 to 38. This pushed the fatal crash rate up from 0.25% in October 2021 to 0.31% in October 2022. While fatal crashes increased, the overall proportion of crashes involving any level of injury saw a slight decrease from 22.9% to 21.9%. Specifically, the share of serious injury crashes fell from 2.0% to 1.6% of all incidents.
Severity is per crash event (most severe injury). 38 fatal crash events resulted in 42 persons killed.
Outcome by Severity (Crash Events)
Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2022-10-01 to 2022-10-31 · KABCO injury classification scale
Severity Distribution (Crash Events)
Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2022-10-01 to 2022-10-31 · Most severe injury per crash record
Top Contributing Factors
The leading contributing factors cited in crashes remained consistent year-over-year, with 'No improper driving,' 'Inattention,' and 'Failed to yield right of way' being the most common in both periods. The count of crashes attributed to 'Inattention' decreased by 3.5%, from 1,699 to 1,639 incidents. Conversely, crashes involving 'Failed to yield right of way' increased in count by 2.6% (from 1,212 to 1,243), and those where a driver 'Followed too closely' rose by 2.1% (from 1,117 to 1,140).
Officer-Reported Primary Contributing Cause
Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2022-10-01 to 2022-10-31 · Officer-reported primary contributory cause per crash
Road & Environmental Conditions
Environmental conditions during crashes were broadly similar between October 2022 and October 2021. The majority of collisions in both periods occurred in 'Daylight' (63.7% vs. 62.4%) and on 'Dry' road surfaces (75.7% vs. 76.2%). There was a decrease in the number of crashes occurring in 'Rain,' which fell from 1,443 incidents in the prior period to 1,174 in the current period, but the overall distribution of crashes across conditions did not show significant year-over-year changes.
Weather
Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2022-10-01 to 2022-10-31 · Weather condition at time of crash
Lighting
Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2022-10-01 to 2022-10-31 · Lighting condition field
Road Surface
Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2022-10-01 to 2022-10-31 · Road surface condition field
Vehicles & Demographics
The makes of vehicles involved in crashes remained consistent, with Toyota, Honda, and Ford being the top three most frequent in both October 2022 and October 2021. The age demographics of individuals involved in crashes also showed little change. The proportional representation of most age groups was stable, though the 65+ cohort's share of involvement slightly increased from 9.7% in the prior period to 10.2% in the current period.
Top Vehicle Makes (22,779 vehicles)
Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2022-10-01 to 2022-10-31 · Vehicle unit records
3,212 persons with unknown or unrecorded age excluded from age chart.
Sex Distribution (24,542 persons with recorded sex)
Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2022-10-01 to 2022-10-31 · Person-level records linked to crash events
Speed Limit Zones
The distribution of crashes across different speed zones was largely unchanged year-over-year, with the majority of incidents in both periods occurring in zones with posted limits of 30 mph or less. However, there was a significant shift in where fatal crashes occurred. The number of fatalities in 65 mph zones quadrupled from 3 to 12, and fatalities in 55 mph zones doubled from 3 to 6, indicating that the lethality of crashes in high-speed zones increased dramatically.
Fatal crashes by zone: 25 mph: 4 of 2,173 (0.184%) · 30 mph: 8 of 3,316 (0.241%) · 35 mph: 3 of 1,683 (0.178%) · 40 mph: 3 of 897 (0.334%) · 50 mph: 1 of 269 (0.372%) · 55 mph: 6 of 673 (0.892%) · 60 mph: 1 of 51 (1.961%) · 65 mph: 12 of 780 (1.538%)
Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2022-10-01 to 2022-10-31 · 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: 2022-10-01 through 2022-10-31
- Report generated: June 21, 2026
Data Coverage
- Reporting period: 2022-10-01 through 2022-10-31 (31 days)
- Geographic scope: massachusetts, MA
- Total crash records analyzed: 12,313
- Total persons involved: 28,190
- Total vehicles involved: 22,779
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: October 2022." Published June 21, 2026. Reporting period: 2022-10-01 to 2022-10-31. Data source: Massachusetts Crash Data (MassDOT CDV), Arcgis_yearly Open Data. Available at: https://thatcarhitme.com/crash-data/massachusetts/statewide/october-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: 2022-10-01 – 2022-10-31
Generated: June 21, 2026 · All rights reserved