ThatCarHitMe.com
An Injuria.ai Company
YEAR-OVER-YEAR CRASH REPORT · LYNN, MA · 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/2022-annual-report
Yearly Traffic Safety Analysis
2,098 CRASHES IN
LYNN, MA
2022
In Lynn, total reported traffic crashes increased by 9.7% from 1,912 in 2021 to 2,098 in 2022. While the number of fatalities remained unchanged at three, the number of injuries rose from 686 to 748. One of the most notable shifts was a 31.8% increase in crashes where driving under the influence was a factor, rising from 44 incidents in 2021 to 58 in 2022.
2,098
▲ 9.7%was 1,912
Total Crash Events
3
Persons Killed
748
▲ 9.0%was 686
Persons Injured
481
▲ 10.8%was 434
Hit-and-Run Crashes
Note: "Persons Killed" (3) counts individual fatalities across all crash events. "Fatal" in the severity table below (3) counts crash events where at least one fatality occurred. A single crash can result in multiple fatalities. 161 crashes with unreported severity are not shown in the severity breakdown.
Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2022-01-01 to 2022-12-31 · Aggregate counts from crash, person, and vehicle records
Trend Summary
Crash data for Lynn indicates a rising trend in traffic incidents year-over-year. The total number of crashes grew from 1,912 in 2021 to 2,098 in 2022, representing a 9.7% increase. Similarly, the number of people injured in these incidents increased by 9.0%, from 686 to 748, while fatalities held steady at three for both years.
481
Hit-and-Run Crashes — 2022
▲ 10.8% vs prior (434)
Hit-and-run incidents increased in Lynn from 2021 to 2022. The total count of hit-and-run crashes rose by 10.8%, from 434 to 481. The hit-and-run rate, representing the percentage of all crashes that were hit-and-runs, saw a slight uptick from 22.7% in 2021 to 22.9% in 2022, indicating a stable but slightly worsening trend.
Vulnerable Road User Casualties
0
Pedestrians Killed
0
Cyclists Killed
3
Motorists Killed
0
Other Killed
80
Pedestrians Injured
30
Cyclists Injured
634
Motorists Injured
4
Other Injured
Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2022-01-01 to 2022-12-31 · Mode classified from person records (driver/passenger → motorist; pedestrian; bicyclist → cyclist; in-line skater / unspecified → other)
When Crashes Happen
The temporal patterns of crashes remained largely consistent between 2021 and 2022. Saturday was the day with the most crashes in both years, with the count increasing from 294 in 2021 to 351 in 2022. The peak hour for crashes saw a slight shift, moving from 3 p.m. in 2021 (147 crashes) to 2 p.m. in 2022 (143 crashes).
Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2022-01-01 to 2022-12-31 · Crash date field aggregated by weekday
Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2022-01-01 to 2022-12-31 · Crash time field aggregated by hour (0-23)
Crash Severity Breakdown
The severity distribution of crashes saw minor changes between the two periods. The number of fatal crashes was stable at three, though the fatal crash rate as a percentage of all crashes decreased slightly from 0.16% in 2021 to 0.14% in 2022. The proportion of crashes resulting in any injury was nearly unchanged, at 27.2% in 2021 and 27.4% in 2022. Crashes with minor injuries increased their share from 19.3% to 20.6% of all incidents.
Outcome by Severity (Crash Events)
Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2022-01-01 to 2022-12-31 · KABCO injury classification scale
Severity Distribution (Crash Events)
Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2022-01-01 to 2022-12-31 · Most severe injury per crash record
Top Contributing Factors
The leading contributing factors for crashes showed some shifts between 2021 and 2022. "No improper driving" remained the most cited factor, with its count increasing by 26.2% from 493 to 622 crashes. "Inattention" remained the second-most common factor, though its count decreased slightly from 71 to 69. Notably, crashes attributed to an "Operating vehicle in erratic, reckless, careless, negligent or aggressive manner" increased by 30.4% from 46 to 60 incidents, making it the third most common factor in 2022.
Officer-Reported Primary Contributing Cause
Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2022-01-01 to 2022-12-31 · Officer-reported primary contributory cause per crash
Road & Environmental Conditions
Crash conditions were broadly similar year-over-year, with most incidents occurring in clear weather on dry roads during daylight hours. In 2022, 79.7% of crashes occurred on dry roads, compared to 80.3% in 2021. The proportion of crashes happening in daylight was also stable, at 58.2% in 2022 versus 57.7% in 2021. Crashes during rainy conditions decreased from 9.7% of the total in 2021 to 8.2% in 2022.
Weather
Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2022-01-01 to 2022-12-31 · Weather condition at time of crash
Lighting
Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2022-01-01 to 2022-12-31 · Lighting condition field
Road Surface
Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2022-01-01 to 2022-12-31 · Road surface condition field
Vehicles & Demographics
The top vehicle makes involved in crashes remained consistent, with Honda, Toyota, and Ford being the top three in both 2021 and 2022. The number of Hondas in crashes rose from 759 to 840, and Fords increased from 381 to 465. The age distribution of persons involved in crashes also showed stability; the 26-34 age group was the largest cohort in both years, accounting for 21.3% of persons with known age in 2021 and 21.5% in 2022.
Top Vehicle Makes (4,110 vehicles)
Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2022-01-01 to 2022-12-31 · Vehicle unit records
1,085 persons with unknown or unrecorded age excluded from age chart.
Sex Distribution (4,606 persons with recorded sex)
Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2022-01-01 to 2022-12-31 · Person-level records linked to crash events
Speed Limit Zones
Crashes were most prevalent in 25 mph zones in both years, with the count in this zone increasing from 1,024 in 2021 to 1,217 in 2022. Conversely, crashes in 30 mph zones decreased from 560 to 507. The location of fatal crashes shifted; in 2021, two fatalities occurred in a 35 mph zone, whereas in 2022, fatalities were recorded in 15 mph, 25 mph, and 30 mph zones.
Fatal crashes by zone: 15 mph: 1 of 20 (5%) · 25 mph: 1 of 1,217 (0.082%) · 30 mph: 1 of 507 (0.197%)
Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2022-01-01 to 2022-12-31 · 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: 2022-01-01 through 2022-12-31
- Report generated: June 21, 2026
Data Coverage
- Reporting period: 2022-01-01 through 2022-12-31 (365 days)
- Geographic scope: LYNN, MA
- Total crash records analyzed: 2,098
- Total persons involved: 5,558
- Total vehicles involved: 4,110
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: 2022." Published June 21, 2026. Reporting period: 2022-01-01 to 2022-12-31. Data source: Massachusetts Crash Data (MassDOT CDV), Arcgis_yearly Open Data. Available at: https://thatcarhitme.com/crash-data/massachusetts/lynn/2022-annual-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: 2022-01-01 – 2022-12-31
Generated: June 21, 2026 · All rights reserved