ThatCarHitMe.com
An Injuria.ai Company
YEAR-OVER-YEAR CRASH REPORT · MASSACHUSETTS, MA · NOVEMBER 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/november-2023-report
Monthly Traffic Safety Analysis
12,315 CRASHES IN
MASSACHUSETTS, MA
NOVEMBER 2023
In November 2023, there were 12,315 total crashes recorded in Massachusetts, representing a 1.1% increase from the 12,184 crashes in November 2022. Despite the slight rise in total collisions, the most significant year-over-year change was a substantial decrease in traffic fatalities. The number of persons killed in crashes fell by 42.4%, from 33 in the prior period to 19 in the current period.
12,315
▲ 1.1%was 12,184
Total Crash Events
19
▼ -42.4%was 33
Persons Killed
3,557
▼ -0.7%was 3,582
Persons Injured
1,111
▲ 20.6%was 921
Hit-and-Run Crashes
Note: "Persons Killed" (19) counts individual fatalities across all crash events. "Fatal" in the severity table below (18) counts crash events where at least one fatality occurred. A single crash can result in multiple fatalities. 642 crashes with unreported severity are not shown in the severity breakdown.
Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2023-11-01 to 2023-11-30 · Aggregate counts from crash, person, and vehicle records
Trend Summary
Comparing November 2023 to the same month in 2022, the overall number of crashes remained relatively stable, increasing by approximately 1.1% from 12,184 to 12,315. However, the severity of crash outcomes improved notably. Total injuries saw a slight decrease of 0.7% from 3,582 to 3,557, while total fatalities dropped significantly by 42.4% from 33 to 19.
1,111
Hit-and-Run Crashes — November 2023
▲ 20.6% vs prior (921)
Hit-and-run incidents increased significantly in November 2023 compared to the same month in the prior year. The total count of hit-and-run crashes rose by 20.6%, from 921 to 1,111. This increase is also reflected in the hit-and-run rate, which climbed from 7.6% to 9.0% of all crashes, indicating an upward trend for this type of collision.
Vulnerable Road User Casualties
5
Pedestrians Killed
0
Cyclists Killed
13
Motorists Killed
1
Other Killed
149
Pedestrians Injured
60
Cyclists Injured
3,325
Motorists Injured
23
Other Injured
Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2023-11-01 to 2023-11-30 · 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 consistent year-over-year, with Wednesday being the peak day for collisions in both November 2022 (2,259 crashes) and November 2023 (2,398 crashes). The evening commute hour of 5 p.m. also remained the peak time for crashes in both periods. A notable shift occurred in the daily distribution of crashes during the week, with collisions on Tuesdays decreasing from 2,179 to 1,683 while those on Thursdays increased from 1,605 to 2,141.
Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2023-11-01 to 2023-11-30 · Crash date field aggregated by weekday
Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2023-11-01 to 2023-11-30 · Crash time field aggregated by hour (0-23)
Crash Severity Breakdown
The severity of crashes decreased from November 2022 to November 2023, primarily driven by a drop in fatal incidents. The number of fatal crashes fell from 33 to 18, causing the fatal crash rate per 100 crashes to decline from 0.27 to 0.15. The proportion of crashes resulting in any level of injury (Serious, Minor, or Possible) remained nearly unchanged, constituting 21.2% of all crashes in the prior period and 21.5% in the current period.
Severity is per crash event (most severe injury). 18 fatal crash events resulted in 19 persons killed.
Outcome by Severity (Crash Events)
Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2023-11-01 to 2023-11-30 · KABCO injury classification scale
Severity Distribution (Crash Events)
Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2023-11-01 to 2023-11-30 · Most severe injury per crash record
Top Contributing Factors
The top three contributing factors for crashes remained consistent between November 2022 and November 2023: 'No improper driving,' 'Inattention,' and 'Failed to yield right of way.' The count of crashes attributed to 'Failed to yield right of way' increased from 1,220 to 1,292, and collisions involving 'Followed too closely' rose from 1,088 to 1,165. Conversely, crashes where 'Driving too fast for conditions' was a factor saw a notable decrease in count, falling from 224 to 181.
Officer-Reported Primary Contributing Cause
Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2023-11-01 to 2023-11-30 · Officer-reported primary contributory cause per crash
Road & Environmental Conditions
Crash conditions were broadly similar year-over-year, with the majority of incidents in both periods occurring during daylight (53.5% of crashes in 2022 vs. 54.1% in 2023) and on dry roads (83.9% vs. 85.6%). There was a noticeable decrease in crashes occurring on wet road surfaces, which fell from 1,725 incidents in November 2022 to 1,420 in November 2023. This corresponds with a drop in crashes reported during rainy weather, from 818 to 564.
Weather
Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2023-11-01 to 2023-11-30 · Weather condition at time of crash
Lighting
Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2023-11-01 to 2023-11-30 · Lighting condition field
Road Surface
Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2023-11-01 to 2023-11-30 · Road surface condition field
Vehicles & Demographics
The demographics of vehicles and persons involved in crashes showed high stability between the two periods. The top five vehicle makes involved in collisions remained unchanged in their ranking: Toyota, Honda, Ford, Chevrolet, and Nissan. The age distribution of all persons involved also saw minimal shifts, with most age groups' representation remaining within one percentage point year-over-year. For instance, individuals aged 65 and older represented 10.5% of persons involved in the prior period and 10.8% in the current period.
Top Vehicle Makes (22,506 vehicles)
Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2023-11-01 to 2023-11-30 · Vehicle unit records
2,953 persons with unknown or unrecorded age excluded from age chart.
Sex Distribution (24,791 persons with recorded sex)
Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2023-11-01 to 2023-11-30 · Person-level records linked to crash events
Speed Limit Zones
The distribution of crashes across speed zones saw some shifts, with an increase in crashes in 25 mph zones (from 2,105 to 2,351) and a decrease in 30 mph zones (from 3,160 to 3,069). Fatal crashes decreased across multiple speed limits, with the most significant drop occurring in 30 mph zones, where fatal crashes fell from 9 in November 2022 to 4 in November 2023. In 65 mph zones, fatal crashes decreased from 5 to 4.
Fatal crashes by zone: 20 mph: 1 of 317 (0.315%) · 25 mph: 2 of 2,351 (0.085%) · 30 mph: 4 of 3,069 (0.13%) · 35 mph: 3 of 1,780 (0.169%) · 40 mph: 1 of 943 (0.106%) · 45 mph: 1 of 497 (0.201%) · 55 mph: 1 of 624 (0.16%) · 65 mph: 4 of 899 (0.445%)
Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2023-11-01 to 2023-11-30 · 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: 2023-11-01 through 2023-11-30
- Report generated: June 21, 2026
Data Coverage
- Reporting period: 2023-11-01 through 2023-11-30 (30 days)
- Geographic scope: massachusetts, MA
- Total crash records analyzed: 12,315
- Total persons involved: 28,081
- Total vehicles involved: 22,506
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 2023." Published June 21, 2026. Reporting period: 2023-11-01 to 2023-11-30. Data source: Massachusetts Crash Data (MassDOT CDV), Arcgis_yearly Open Data. Available at: https://thatcarhitme.com/crash-data/massachusetts/statewide/november-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: 2023-11-01 – 2023-11-30
Generated: June 21, 2026 · All rights reserved