ThatCarHitMe.com
An Injuria.ai Company
YEAR-OVER-YEAR CRASH REPORT · MASSACHUSETTS, MA · NOVEMBER 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/november-2022-report
Monthly Traffic Safety Analysis
12,184 CRASHES IN
MASSACHUSETTS, MA
NOVEMBER 2022
In November 2022, there were 12,184 total crashes in Massachusetts, a 4.1% increase from the 11,699 crashes recorded in November 2021. While total fatalities decreased from 38 to 33, the number of reported injuries rose by 11.2% to 3,582. One of the most significant year-over-year changes was a 37.4% increase in crashes where speeding was a factor, which rose from 337 incidents in the prior year to 463.
12,184
▲ 4.1%was 11,699
Total Crash Events
33
▼ -13.2%was 38
Persons Killed
3,582
▲ 11.2%was 3,220
Persons Injured
921
▲ 2.8%was 896
Hit-and-Run Crashes
Note: "Persons Killed" (33) counts individual fatalities across all crash events. "Fatal" in the severity table below (33) counts crash events where at least one fatality occurred. A single crash can result in multiple fatalities. 795 crashes with unreported severity are not shown in the severity breakdown.
Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2022-11-01 to 2022-11-30 · Aggregate counts from crash, person, and vehicle records
Trend Summary
Crash data for November shows an upward trend in total incidents and injuries compared to the previous year. Total crashes increased by 4.1%, from 11,699 in November 2021 to 12,184 in November 2022. While fatalities saw a decrease of 13.2% from 38 to 33, the number of people injured in crashes grew by 11.2%.
921
Hit-and-Run Crashes — November 2022
▲ 2.8% vs prior (896)
The number of hit-and-run incidents saw a slight increase, rising from 896 in November 2021 to 921 in November 2022, a change of 2.8%. Despite this increase in the absolute count, the hit-and-run rate as a percentage of total crashes remained stable, decreasing slightly from 7.7% to 7.6%. This indicates that the growth in hit-and-run incidents was proportional to the overall increase in crashes.
Vulnerable Road User Casualties
9
Pedestrians Killed
0
Cyclists Killed
24
Motorists Killed
0
Other Killed
190
Pedestrians Injured
67
Cyclists Injured
3,311
Motorists Injured
14
Other Injured
Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2022-11-01 to 2022-11-30 · Mode classified from person records (driver/passenger → motorist; pedestrian; bicyclist → cyclist; in-line skater / unspecified → other)
When Crashes Happen
The time of day for crashes remained consistent year-over-year, with the 5 PM hour being the peak period in both November 2022 (1,190 crashes) and November 2021 (1,099 crashes). However, the peak day for crashes shifted from Tuesday (1,970 crashes) in the prior year to Wednesday (2,259 crashes) in the current period. Crashes on Wednesdays increased by 37% year-over-year, while incidents on Mondays and Fridays saw a decrease.
Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2022-11-01 to 2022-11-30 · Crash date field aggregated by weekday
Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2022-11-01 to 2022-11-30 · Crash time field aggregated by hour (0-23)
Crash Severity Breakdown
The overall severity of crashes saw a slight increase in November 2022 compared to the prior year. While the share of fatal crashes remained stable at 0.3% for both periods, crashes resulting in any level of injury rose from 20.3% of all crashes in 2021 to 21.2% in 2022. Specifically, serious injury crashes increased in both count (from 192 to 216) and proportion (from 1.6% to 1.8% of all incidents).
Outcome by Severity (Crash Events)
Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2022-11-01 to 2022-11-30 · KABCO injury classification scale
Severity Distribution (Crash Events)
Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2022-11-01 to 2022-11-30 · Most severe injury per crash record
Top Contributing Factors
The leading contributing factors for crashes remained consistent year-over-year, with 'Inattention' (1,566 incidents) and 'Failed to yield right of way' (1,220) as the top driver-related causes in November 2022. While the top rankings did not change, there was a notable increase in the count of speed-related factors. Crashes attributed to 'Exceeded authorized speed limit' rose by 45.6% from 114 to 166 incidents, and 'Driving too fast for conditions' increased by 34.9% from 166 to 224 incidents. Conversely, crashes attributed to 'Distracted' driving decreased in count from 251 to 216.
Officer-Reported Primary Contributing Cause
Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2022-11-01 to 2022-11-30 · Officer-reported primary contributory cause per crash
Road & Environmental Conditions
While the majority of crashes in both periods occurred in daylight on dry roads, there was a notable increase in crashes during adverse weather in November 2022. Crashes on wet road surfaces increased by 33.4%, from 1,293 to 1,725 incidents year-over-year. Similarly, crashes occurring during rain rose by 51.8%, from 539 to 818. The distribution of crashes by lighting conditions remained largely unchanged between the two periods.
Weather
Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2022-11-01 to 2022-11-30 · Weather condition at time of crash
Lighting
Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2022-11-01 to 2022-11-30 · Lighting condition field
Road Surface
Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2022-11-01 to 2022-11-30 · Road surface condition field
Vehicles & Demographics
The composition of vehicles involved in crashes remained stable, with Toyota, Honda, and Ford being the top three most common makes in both November 2022 and the prior year. An analysis of persons involved shows a largely consistent age distribution, with most groups' representation changing by less than one percentage point. However, the share of individuals aged 65 and older involved in crashes increased from 9.8% of all persons in November 2021 to 10.5% in November 2022.
Top Vehicle Makes (22,193 vehicles)
Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2022-11-01 to 2022-11-30 · Vehicle unit records
2,716 persons with unknown or unrecorded age excluded from age chart.
Sex Distribution (24,531 persons with recorded sex)
Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2022-11-01 to 2022-11-30 · Person-level records linked to crash events
Speed Limit Zones
The distribution of crashes across different speed zones shows an increase in incidents in both lower (30 mph and under) and higher (60 mph and over) speed zones in November 2022 compared to the previous year. Crashes in zones 30 mph or less grew from 5,801 to 6,013, while crashes in zones 60 mph or higher increased from 859 to 1,019. Fatal crashes became less concentrated in 30 mph zones, which recorded 9 fatalities compared to 12 in the prior year, and 35 mph zones, which saw a drop from 7 fatalities to 4.
Fatal crashes by zone: 15 mph: 1 of 171 (0.585%) · 20 mph: 1 of 270 (0.37%) · 25 mph: 3 of 2,105 (0.143%) · 30 mph: 9 of 3,160 (0.285%) · 35 mph: 4 of 1,694 (0.236%) · 40 mph: 1 of 915 (0.109%) · 50 mph: 3 of 317 (0.946%) · 55 mph: 3 of 632 (0.475%) · 65 mph: 5 of 954 (0.524%)
Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2022-11-01 to 2022-11-30 · 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: 2022-11-01 through 2022-11-30
- Report generated: June 21, 2026
Data Coverage
- Reporting period: 2022-11-01 through 2022-11-30 (30 days)
- Geographic scope: massachusetts, MA
- Total crash records analyzed: 12,184
- Total persons involved: 27,535
- Total vehicles involved: 22,193
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: November 2022." Published June 21, 2026. Reporting period: 2022-11-01 to 2022-11-30. Data source: Massachusetts Crash Data (MassDOT CDV), Arcgis_yearly Open Data. Available at: https://thatcarhitme.com/crash-data/massachusetts/statewide/november-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: 2022-11-01 – 2022-11-30
Generated: June 21, 2026 · All rights reserved