Monthly Traffic Safety Analysis

147 CRASHES IN
LYNN, MA
JULY 2024

All metrics benchmarked againstJuly 2023

In July 2024, Lynn, MA, recorded 147 crashes, a slight decrease from 151 crashes in July 2023. Total injuries also saw a reduction, falling from 66 to 59. The most notable year-over-year shift was a 60% decrease in DUI-related crashes, which fell from 15 to 6 incidents.

147

-2.6%was 151

Total Crash Events

0

Persons Killed

59

-10.6%was 66

Persons Injured

40

48.1%was 27

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. 14 crashes with unreported severity are not shown in the severity breakdown.

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2024-07-01 to 2024-07-31 · Aggregate counts from crash, person, and vehicle records

Trend Summary

Overall, crashes in Lynn, MA, experienced a slight decrease of 2.65%, from 151 crashes in July 2023 to 147 crashes in July 2024. Total injuries also decreased by 10.61%, falling from 66 to 59 over the same period, indicating a downward trend in both crash frequency and injury severity.

40

Hit-and-Run Crashes — July 2024

48.1% vs prior (27)

Hit-and-run crashes increased significantly by 13 incidents, from 27 in July 2023 to 40 in July 2024. This represents a 48.15% increase in the count of hit-and-run crashes, with the hit-and-run rate rising from 17.9% to 27.2%.

Vulnerable Road User Casualties

0

Pedestrians Killed

Prior: 00.0%

0

Motorists Killed

Prior: 00.0%

0

Other Killed

Prior: 00.0%

3

Pedestrians Injured

Prior: 4-25.0%

54

Motorists Injured

Prior: 60-10.0%

2

Other Injured

Prior: 1100.0%

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2024-07-01 to 2024-07-31 · Mode classified from person records (driver/passenger → motorist; pedestrian; bicyclist → cyclist; in-line skater / unspecified → other)

When Crashes Happen

The peak day for crashes shifted from Saturday in July 2023, with 25 crashes, to Monday in July 2024, which recorded 37 crashes. The peak hour remained 10 p.m. in both periods, with 12 crashes in July 2023 and 13 crashes in July 2024, showing consistency in late-night crash occurrences.

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2024-07-01 to 2024-07-31 · Crash date field aggregated by weekday

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2024-07-01 to 2024-07-31 · Crash time field aggregated by hour (0-23)

Crash Severity Breakdown

Fatalities remained at zero in both July 2023 and July 2024. Serious injury crashes (code 'A') decreased significantly from 6 in July 2023 to 1 in July 2024, representing an 83.33% reduction in count. Minor injury crashes (code 'B') remained stable, with 37 in the prior period and 38 in the current period.

Outcome by Severity (Crash Events)

Serious Injury1serious injury crashes0.7%
-83.3%prior 6
Minor Injury38minor injury crashes25.9%
2.7%prior 37
Possible Injury8possible injury crashes5.4%
33.3%prior 6
No Injury86no injury crashes58.5%
-3.4%prior 89

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2024-07-01 to 2024-07-31 · KABCO injury classification scale

Severity Distribution (Crash Events)

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2024-07-01 to 2024-07-31 · Most severe injury per crash record

Top Contributing Factors

Crashes attributed to 'No improper driving' increased by 18, from 40 in July 2023 to 58 in July 2024, a 45% increase in count. Conversely, 'Other improper action' decreased by 9 crashes, falling from 19 to 10, a 47.37% decrease in count. 'Inattention' also saw a notable decrease of 7 crashes, falling from 12 to 5.

Officer-Reported Primary Contributing Cause

No improper driving58 (39.5%)45.0%prior 40
Operating vehicle in erratic, reckless, careless, negligent or aggressive manner11 (7.5%)22.2%prior 9
Other improper action10 (6.8%)-47.4%prior 19
Inattention5 (3.4%)-58.3%prior 12
Failure to keep in proper lane or running off road3 (2%)
Failed to yield right of way3 (2%)
Distracted3 (2%)
Made an improper turn2 (1.4%)
Followed too closely2 (1.4%)
Physical impairment2 (1.4%)

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2024-07-01 to 2024-07-31 · Officer-reported primary contributory cause per crash

Road & Environmental Conditions

The number of crashes occurring in 'Dry' road surface conditions increased from 123 to 140, while crashes on 'Wet' surfaces decreased from 27 to 7. Crashes during 'Clear' weather conditions increased by 12, from 106 to 118. Crashes occurring in 'Dark - lighted roadway' conditions decreased from 43 to 35.

Weather

Clear118 (80.3%)
11.3%prior 106
Clear/Clear17 (11.6%)
30.8%prior 13
Cloudy5 (3.4%)
-16.7%prior 6
Rain3 (2.0%)
-78.6%prior 14
Rain/Cloudy1 (0.7%)
Cloudy/Cloudy1 (0.7%)
Cloudy/Rain1 (0.7%)
Rain/Clear1 (0.7%)

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2024-07-01 to 2024-07-31 · Weather condition at time of crash

Lighting

Daylight104 (70.7%)
4.0%prior 100
Dark - lighted roadway35 (23.8%)
-18.6%prior 43
Dawn3 (2.0%)
Dark - unknown roadway lighting2 (1.4%)
Dusk2 (1.4%)
Dark - roadway not lighted1 (0.7%)

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2024-07-01 to 2024-07-31 · Lighting condition field

Road Surface

Dry140 (95.2%)
13.8%prior 123
Wet7 (4.8%)
-74.1%prior 27

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2024-07-01 to 2024-07-31 · Road surface condition field

Vehicles & Demographics

The total number of vehicles involved in crashes decreased from 299 in July 2023 to 281 in July 2024, a 6.02% reduction. HONDA vehicles involved in crashes decreased by 24, from 68 to 44. TOYOTA vehicles remained constant at 55 in both periods.

Top Vehicle Makes (281 vehicles)

1
TOYOTA55 (19.6%)
0.0%prior 55
2
HONDA44 (15.7%)
-35.3%prior 68
3
FORD28 (10%)
-12.5%prior 32
4
CHEVROLET23 (8.2%)
35.3%prior 17
5
NISSAN15 (5.3%)
15.4%prior 13
6
JEEP13 (4.6%)
8.3%prior 12
7
ACURA9 (3.2%)
28.6%prior 7
8
MITS8 (2.8%)
9
GMC6 (2.1%)
-33.3%prior 9
10
HYUNDAI5 (1.8%)

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2024-07-01 to 2024-07-31 · Vehicle unit records

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

Sex Distribution (285 persons with recorded sex)

Male181 (63.5%)
-1.6%prior 184
Female104 (36.5%)
-21.8%prior 133

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2024-07-01 to 2024-07-31 · Person-level records linked to crash events

Speed Limit Zones

Crashes in 25 mph speed zones decreased from 92 in July 2023 to 84 in July 2024. Conversely, crashes in 30 mph speed zones increased from 28 to 33. No fatalities were reported in any speed zone during either period.

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2024-07-01 to 2024-07-31 · 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: 2024-07-01 through 2024-07-31
  • Report generated: June 21, 2026

Data Coverage

  • Reporting period: 2024-07-01 through 2024-07-31 (31 days)
  • Geographic scope: LYNN, MA
  • Total crash records analyzed: 147
  • Total persons involved: 349
  • Total vehicles involved: 281

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: July 2024." Published June 21, 2026. Reporting period: 2024-07-01 to 2024-07-31. Data source: Massachusetts Crash Data (MassDOT CDV), Arcgis_yearly Open Data. Available at: https://thatcarhitme.com/crash-data/massachusetts/lynn/july-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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Lynn, MA Crash Report — July 2024 | ThatCarHitMe.com