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YEAR-OVER-YEAR CRASH REPORT · LYNN, 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/lynn/october-2022-report
Monthly Traffic Safety Analysis
173 CRASHES IN
LYNN, MA
OCTOBER 2022
In October 2022, LYNN, MA experienced 173 crashes, a decrease of 14.78% compared to the 203 crashes recorded in October 2021. Notably, the current period saw 1 fatality, while the prior period had no fatalities.
173
▼ -14.8%was 203
Total Crash Events
1
Persons Killed
59
▼ -18.1%was 72
Persons Injured
38
▼ -26.9%was 52
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. 7 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, the trend for crashes in LYNN, MA for October indicates a decrease year-over-year, with total crashes falling by 14.78% from 203 to 173. Similarly, total injuries decreased by 18.06% from 72 to 59. Despite the reduction in overall crashes and injuries, there was an increase in fatalities, with 1 fatality recorded in October 2022 compared to 0 in October 2021.
38
Hit-and-Run Crashes — October 2022
▼ -26.9% vs prior (52)
Hit-and-run crashes decreased in October 2022, with 38 incidents compared to 52 in October 2021. The hit-and-run rate also saw a reduction, falling from 25.6% of all crashes in the prior period to 22% in the current period, indicating a downward trend year-over-year.
Vulnerable Road User Casualties
0
Pedestrians Killed
0
Cyclists Killed
1
Motorists Killed
0
Other Killed
8
Pedestrians Injured
5
Cyclists Injured
45
Motorists Injured
1
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 peak day for crashes remained Saturday in both periods, though the count decreased from 39 in October 2021 to 32 in October 2022. The peak crash hour shifted from 3p with 18 crashes in October 2021 to 2p with 15 crashes in October 2022. Notably, Monday crashes saw a significant decrease of 45.16% (from 31 to 17), while Thursday crashes increased by 55.56% (from 18 to 28) year-over-year.
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
In October 2022, there was 1 fatal crash, marking an increase from 0 fatal crashes in October 2021, and resulting in a fatal crash rate of 0.58%. Crashes involving serious injuries decreased from 5 to 3, while minor injury crashes decreased from 40 to 38. The proportion of crashes resulting in any injury (A, B, or C severity) slightly increased from 28.08% in October 2021 to 30.06% in October 2022.
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 factor, 'No improper driving,' decreased by 8 crashes (a 13.11% reduction in count) from 61 in October 2021 to 53 in October 2022. Factors such as 'Failed to yield right of way' increased by 2 crashes (a 100% increase in count) from 2 to 4, and 'Fatigued/asleep' increased by 2 crashes (a 200% increase in count) from 1 to 3. Conversely, 'Operating vehicle in erratic, reckless, careless, negligent or aggressive manner' decreased by 3 crashes (a 75% reduction in count) from 4 to 1.
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
Crashes occurring in clear weather conditions (Clear or Clear/Clear) decreased from 150 in October 2021 to 133 in October 2022. Similarly, crashes during rain conditions decreased from 38 to 22 year-over-year. Crashes under daylight conditions decreased from 110 to 98, and those in dark-lighted roadway conditions decreased from 76 to 66.
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 top vehicle makes involved in crashes remained Toyota, Honda, and Ford, though their counts decreased year-over-year. Toyota saw a decrease from 81 to 60, Honda from 76 to 58, and Ford from 41 to 35. In terms of persons involved, the 26-34 age group experienced an increase of 23 persons (from 76 to 99), becoming the most represented age group in October 2022, while the 35-44 age group, which was previously the highest, decreased from 74 to 63.
Top Vehicle Makes (330 vehicles)
Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2022-10-01 to 2022-10-31 · Vehicle unit records
76 persons with unknown or unrecorded age excluded from age chart.
Sex Distribution (394 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 25 mph speed limit zone remained the most common location for crashes, with 95 crashes in October 2022 compared to 98 in October 2021. This zone recorded the single fatality in October 2022, resulting in a fatal rate of 1.053%, whereas no fatalities occurred in the 25 mph zone in the prior period. Crashes in the 30 mph zone decreased by 18 (from 64 to 46), and crashes in the 20 mph zone decreased by 11 (from 20 to 9).
Fatal crashes by zone: 25 mph: 1 of 95 (1.053%)
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: LYNN, MA
- Total crash records analyzed: 173
- Total persons involved: 454
- Total vehicles involved: 330
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). "LYNN, 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/lynn/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