Monthly Traffic Safety Analysis

21 CRASHES IN
LYNNFIELD, MA
AUGUST 2024

All metrics benchmarked againstAugust 2023

Total crashes in LYNNFIELD, MA increased by 40% from 15 in August 2023 to 21 in August 2024. This notable rise in overall crash incidents is accompanied by a significant increase in 'followed too closely' as a contributing factor, which jumped from 1 crash to 6 crashes year-over-year. The data indicates a general upward trend in crash frequency for the specified period.

21

40.0%was 15

Total Crash Events

0

Persons Killed

6

20.0%was 5

Persons Injured

2

100.0%was 1

Hit-and-Run Crashes

Note: "Persons Killed" (0) counts individual fatalities across all crash events. "Fatal" in the severity table below (0) counts crash events where at least one fatality occurred. A single crash can result in multiple fatalities.

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2024-08-01 to 2024-08-31 · Aggregate counts from crash, person, and vehicle records

Trend Summary

The overall trend for crashes in LYNNFIELD, MA is upward, with a 40% increase in total crashes from 15 in August 2023 to 21 in August 2024. This indicates a notable rise in crash incidents year-over-year.

2

Hit-and-Run Crashes — August 2024

100.0% vs prior (1)

Hit-and-run crashes increased from 1 incident in August 2023 to 2 incidents in August 2024, representing a 100% rise. Concurrently, the hit-and-run rate increased from 6.7% in the prior period to 9.5% in the current period, indicating an upward trend.

Vulnerable Road User Casualties

0

Motorists Killed

Prior: 00.0%

6

Motorists Injured

Prior: 450.0%

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2024-08-01 to 2024-08-31 · Mode classified from person records (driver/passenger → motorist; pedestrian; bicyclist → cyclist; in-line skater / unspecified → other)

When Crashes Happen

The temporal patterns of crashes shifted between the two periods. In August 2023, the peak day for crashes was Saturday with 4 incidents, and the peak hour was 1p with 5 crashes; however, in August 2024, the peak day moved to Wednesday with 6 crashes, and the peak hour shifted to 7a with 4 crashes.

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2024-08-01 to 2024-08-31 · Crash date field aggregated by weekday

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2024-08-01 to 2024-08-31 · Crash time field aggregated by hour (0-23)

Crash Severity Breakdown

There were no fatal crashes in either August 2023 or August 2024, maintaining a 0% fatal crash rate for both periods. Total injuries increased from 5 in August 2023 to 6 in August 2024, representing a 20% rise. Minor injury crashes increased from 3 to 4, while possible injury crashes remained constant at 2 for both periods.

Outcome by Severity (Crash Events)

Minor Injury4minor injury crashes19%
33.3%prior 3
Possible Injury2possible injury crashes9.5%
0.0%prior 2
No Injury15no injury crashes71.4%
66.7%prior 9

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2024-08-01 to 2024-08-31 · KABCO injury classification scale

Severity Distribution (Crash Events)

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2024-08-01 to 2024-08-31 · Most severe injury per crash record

Top Contributing Factors

The contributing factor 'Followed too closely' saw a substantial increase, rising from 1 crash in August 2023 to 6 crashes in August 2024, a 500% change in count, making it the top factor in the current period. 'Inattention' also increased from 2 crashes to 4 crashes, a 100% change in count. 'Failed to yield right of way' remained at 2 crashes in both periods, while 'Operating vehicle in erratic, reckless, careless, negligent or aggressive manner' decreased from 2 crashes to 1 crash.

Officer-Reported Primary Contributing Cause

Followed too closely6 (28.6%)
Inattention4 (19%)
No improper driving3 (14.3%)
Failed to yield right of way2 (9.5%)
Physical impairment2 (9.5%)
Exceeded authorized speed limit1 (4.8%)
Operating vehicle in erratic, reckless, careless, negligent or aggressive manner1 (4.8%)

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2024-08-01 to 2024-08-31 · Officer-reported primary contributory cause per crash

Road & Environmental Conditions

Crashes occurring in 'Clear' weather conditions increased from 13 in August 2023 to 16 in August 2024, while 'Cloudy' weather crashes rose from 2 to 5. For lighting conditions, 'Daylight' crashes increased from 13 to 19, and 'Dark - lighted roadway' crashes decreased from 2 to 1. Crashes on 'Dry' road surfaces increased from 14 to 20, while 'Wet' road surface crashes remained at 1 for both periods.

Weather

Clear16 (76.2%)
23.1%prior 13
Cloudy5 (23.8%)

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2024-08-01 to 2024-08-31 · Weather condition at time of crash

Lighting

Daylight19 (90.5%)
46.2%prior 13
Dark - lighted roadway1 (4.8%)
Dark - roadway not lighted1 (4.8%)

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2024-08-01 to 2024-08-31 · Lighting condition field

Road Surface

Dry20 (95.2%)
42.9%prior 14
Wet1 (4.8%)

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2024-08-01 to 2024-08-31 · Road surface condition field

Vehicles & Demographics

Top Vehicle Makes (41 vehicles)

1
NISSAN7 (17.1%)
2
HONDA5 (12.2%)
-16.7%prior 6
3
TOYOTA5 (12.2%)
4
FORD4 (9.8%)
5
CHEVROLET3 (7.3%)
6
JEEP2 (4.9%)
7
GMC2 (4.9%)
8
MERCEDES-BENZ2 (4.9%)
9
VOLKSWAGEN1 (2.4%)
10
FRHT1 (2.4%)

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2024-08-01 to 2024-08-31 · Vehicle unit records

3 persons with unknown or unrecorded age excluded from age chart.

Sex Distribution (44 persons with recorded sex)

Male24 (54.5%)
140.0%prior 10
Female20 (45.5%)
42.9%prior 14

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2024-08-01 to 2024-08-31 · Person-level records linked to crash events

Speed Limit Zones

Crashes in 25 mph zones increased from 2 in August 2023 to 7 in August 2024, while crashes in 30 mph zones decreased from 5 to 3. Crashes in 55 mph zones also increased, from 4 to 7. There were no fatal crashes reported in any speed zone for either period.

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2024-08-01 to 2024-08-31 · 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: 2024-08-01 through 2024-08-31
  • Report generated: June 21, 2026

Data Coverage

  • Reporting period: 2024-08-01 through 2024-08-31 (31 days)
  • Geographic scope: LYNNFIELD, MA
  • Total crash records analyzed: 21
  • Total persons involved: 48
  • Total vehicles involved: 41

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: August 2024." Published June 21, 2026. Reporting period: 2024-08-01 to 2024-08-31. Data source: Massachusetts Crash Data (MassDOT CDV), Arcgis_yearly Open Data. Available at: https://thatcarhitme.com/crash-data/massachusetts/lynnfield/august-2024-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

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Lynnfield, MA Crash Report — August 2024 | ThatCarHitMe.com