ThatCarHitMe.com
An Injuria.ai Company
YEAR-OVER-YEAR CRASH REPORT · WALTHAM, 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/waltham/november-2022-report
Monthly Traffic Safety Analysis
139 CRASHES IN
WALTHAM, MA
NOVEMBER 2022
In November 2022, Waltham experienced 139 total crashes, a slight decrease from 141 crashes in November 2021, representing a 1.42% reduction. However, total fatalities increased from 0 to 1, and total injuries more than doubled from 29 to 64 year-over-year. This indicates a notable shift towards more severe outcomes despite a marginal decrease in overall crash volume.
139
▼ -1.4%was 141
Total Crash Events
1
Persons Killed
64
▲ 120.7%was 29
Persons Injured
27
▼ -12.9%was 31
Hit-and-Run Crashes
Note: "Persons Killed" (1) counts individual fatalities across all crash events. "Fatal" in the severity table below (1) counts crash events where at least one fatality occurred. A single crash can result in multiple fatalities. 11 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
The overall trend shows a slight decrease in total crashes, falling from 141 in November 2021 to 139 in November 2022. This represents a 1.42% reduction in crash volume year-over-year. Despite this, the severity of crashes increased, with a rise in both fatalities and injuries.
27
Hit-and-Run Crashes — November 2022
▼ -12.9% vs prior (31)
Hit-and-run crashes decreased from 31 in November 2021 to 27 in November 2022, a reduction of 4 crashes. Consequently, the hit-and-run rate also decreased from 22% to 19.4% year-over-year, indicating a downward trend for this specific crash type.
Vulnerable Road User Casualties
0
Pedestrians Killed
1
Motorists Killed
5
Pedestrians Injured
59
Motorists 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 peak day for crashes shifted from Tuesday with 26 crashes in November 2021 to Wednesday with 28 crashes in November 2022. The peak hour also changed, moving from 6 PM with 14 crashes in the prior period to 4 PM with 15 crashes in the current period. Crashes on Monday increased from 20 to 24, while Friday saw a decrease from 24 to 15 crashes.
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 most significant change in severity was the increase in total fatalities from 0 in November 2021 to 1 in November 2022. Total injuries also rose substantially from 29 to 64 persons year-over-year. Regarding crash severity distribution, serious injury (A) crashes increased from 12 to 13, while minor injury (B) crashes decreased from 5 to 2, and possible injury (C) crashes increased from 7 to 8.
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 contributing factor 'Inattention' saw a notable increase in count, rising from 16 crashes in November 2021 to 24 crashes in November 2022, making it the most frequent reported improper driving factor. 'Failed to yield right of way' also increased from 11 to 16 crashes, and 'Operating vehicle in erratic, reckless, careless, negligent or aggressive manner' increased from 4 to 9 crashes. Conversely, 'No improper driving' decreased from 30 to 26 crashes, and 'Other improper action' decreased from 5 to 1 crash.
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
Crashes occurring in rainy conditions significantly increased, rising from 5 in November 2021 to 14 in November 2022. Similarly, crashes on wet road surfaces more than doubled, increasing from 9 to 21. Crashes during daylight decreased from 84 to 74, while those in dark but lighted roadway conditions increased from 40 to 43.
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 total number of vehicles involved remained consistent at 272 across both periods. There was a notable shift in the age distribution of persons involved, with the 0-15 age group increasing from 3 to 23 and the 16-20 age group rising from 27 to 57. While Toyota and Honda remained the top vehicle makes, Chevrolet saw a significant increase from 10 to 18 vehicles, and Nissan dropped from 18 to 4 vehicles.
Top Vehicle Makes (272 vehicles)
Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2022-11-01 to 2022-11-30 · Vehicle unit records
53 persons with unknown or unrecorded age excluded from age chart.
Sex Distribution (319 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
Crashes in the 30 mph speed zone remained the most frequent, decreasing slightly from 95 to 94 crashes, but this zone recorded 1 fatal crash in November 2022 compared to 0 in November 2021. The 10 mph zone saw a decrease from 10 to 7 crashes, while the 35 mph zone increased from 1 to 3 crashes. The 55 mph zone also saw a slight increase from 19 to 20 crashes.
Fatal crashes by zone: 30 mph: 1 of 94 (1.064%)
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: WALTHAM, MA
- Total crash records analyzed: 139
- Total persons involved: 368
- Total vehicles involved: 272
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). "WALTHAM, 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/waltham/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