ThatCarHitMe.com
An Injuria.ai Company
YEAR-OVER-YEAR CRASH REPORT · LYNNFIELD, MA · 2024
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/lynnfield/2024-annual-report
Yearly Traffic Safety Analysis
269 CRASHES IN
LYNNFIELD, MA
2024
In Lynnfield, total traffic crashes increased from 237 in the prior period to 269 in the current period, a rise of 13.5%. While the number of fatalities remained stable at one, the most significant change was a 57.6% increase in the total number of injuries, which grew from 59 to 93 year-over-year.
269
▲ 13.5%was 237
Total Crash Events
1
Persons Killed
93
▲ 57.6%was 59
Persons Injured
30
▲ 30.4%was 23
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. 2 crashes with unreported severity are not shown in the severity breakdown.
Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2024-01-01 to 2024-12-31 · Aggregate counts from crash, person, and vehicle records
Trend Summary
Crash data for Lynnfield shows an upward trend year-over-year. Total crashes rose by 13.5%, from 237 to 269. This increase was accompanied by a significant 57.6% rise in total injuries, from 59 to 93, while fatalities held constant at one for both periods.
30
Hit-and-Run Crashes — 2024
▲ 30.4% vs prior (23)
Hit-and-run incidents in Lynnfield are trending upward. The total number of hit-and-run crashes increased from 23 to 30 year-over-year. This corresponds to a rise in the hit-and-run rate, which grew from 9.7% of all crashes in the prior period to 11.2% in the current period.
Vulnerable Road User Casualties
1
Motorists Killed
0
Other Killed
92
Motorists Injured
1
Other Injured
Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2024-01-01 to 2024-12-31 · Mode classified from person records (driver/passenger → motorist; pedestrian; bicyclist → cyclist; in-line skater / unspecified → other)
When Crashes Happen
The timing of crashes shifted between the two periods. The peak day for collisions moved from Sunday (39 crashes) in the prior year to Wednesday (55 crashes) in the current year. Similarly, the peak hour for crashes shifted from 1 p.m. (23 crashes) to 4 p.m. (23 crashes). The current period also saw a more pronounced morning commute peak, with 21 crashes at 7 a.m., compared to 11 in the prior period.
Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2024-01-01 to 2024-12-31 · Crash date field aggregated by weekday
Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2024-01-01 to 2024-12-31 · Crash time field aggregated by hour (0-23)
Crash Severity Breakdown
While the number of fatal crashes remained unchanged at one in both periods, the fatal crash rate decreased slightly from 0.42% to 0.37% due to an increase in total collisions. The proportion of crashes resulting in an injury rose, with 25.3% of current-year crashes involving an injury compared to 21.1% in the prior year. This was driven by a notable increase in 'Possible Injury' crashes, which doubled in count from 14 to 28, and the appearance of one 'Serious Injury' crash in the current period, a category not present in the prior year's data.
Outcome by Severity (Crash Events)
Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2024-01-01 to 2024-12-31 · KABCO injury classification scale
Severity Distribution (Crash Events)
Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2024-01-01 to 2024-12-31 · Most severe injury per crash record
Top Contributing Factors
The top three contributing factors remained consistent across both periods: 'No improper driving,' 'Followed too closely,' and 'Inattention.' However, the count for several factors shifted, with crashes attributed to 'Inattention' increasing by 36.4% from 22 to 30. Crashes involving an 'Operating vehicle in erratic, reckless, careless, negligent or aggressive manner' factor also rose from 6 to 10, a 66.7% increase in count. Conversely, crashes due to 'Failed to yield right of way' decreased by 41.2%, from 17 incidents to 10.
Officer-Reported Primary Contributing Cause
Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2024-01-01 to 2024-12-31 · Officer-reported primary contributory cause per crash
Road & Environmental Conditions
Crashes in the current period were more likely to occur on dry roads and in clear weather compared to the prior year. The proportion of crashes on dry road surfaces increased from 73.8% to 82.2%, while collisions on wet roads decreased from 22.8% to 13.8% of the total. Similarly, the share of crashes occurring in clear weather rose from 61.6% to 67.7%. The proportion of crashes in daylight conditions remained relatively stable, shifting from 63.7% to 66.9%.
Weather
Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2024-01-01 to 2024-12-31 · Weather condition at time of crash
Lighting
Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2024-01-01 to 2024-12-31 · Lighting condition field
Road Surface
Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2024-01-01 to 2024-12-31 · Road surface condition field
Vehicles & Demographics
The top vehicle makes involved in crashes remained largely the same, with Toyota and Honda swapping the top two positions. The number of Toyotas involved increased from 61 to 72, while Hondas rose from 63 to 65. An analysis of persons involved shows the 26-34 age group remained the most represented, with its count increasing from 96 to 127. Notably, the number of individuals in the 0-15 age group doubled from 15 to 30, and the 65+ age group grew from 58 to 73 individuals.
Top Vehicle Makes (534 vehicles)
Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2024-01-01 to 2024-12-31 · Vehicle unit records
53 persons with unknown or unrecorded age excluded from age chart.
Sex Distribution (565 persons with recorded sex)
Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2024-01-01 to 2024-12-31 · Person-level records linked to crash events
Speed Limit Zones
The distribution of crashes across speed zones shifted year-over-year. Collisions in the 55 mph zone, the most frequent location for crashes in both periods, increased from 64 to 83. Crashes in the 50 mph zone also rose from 32 to 48, while those in the 30 mph zone fell from 43 to 25. The single fatal crash in the current period occurred in a 55 mph zone, whereas the fatal crash in the prior period took place in a 25 mph zone.
Fatal crashes by zone: 55 mph: 1 of 83 (1.205%)
Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2024-01-01 to 2024-12-31 · 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: 2024-01-01 through 2024-12-31
- Report generated: June 21, 2026
Data Coverage
- Reporting period: 2024-01-01 through 2024-12-31 (366 days)
- Geographic scope: LYNNFIELD, MA
- Total crash records analyzed: 269
- Total persons involved: 642
- Total vehicles involved: 534
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). "LYNNFIELD, MA Crash Intelligence Report: 2024." Published June 21, 2026. Reporting period: 2024-01-01 to 2024-12-31. Data source: Massachusetts Crash Data (MassDOT CDV), Arcgis_yearly Open Data. Available at: https://thatcarhitme.com/crash-data/massachusetts/lynnfield/2024-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: 2024-01-01 – 2024-12-31
Generated: June 21, 2026 · All rights reserved