Monthly Traffic Safety Analysis

11 CRASHES IN
LUNENBURG, MA
AUGUST 2024

All metrics benchmarked againstAugust 2023

Total crashes in Lunenburg increased from 8 in August 2023 to 11 in August 2024, marking a 37.5% rise year-over-year. The most notable shift was in contributing factors, with 'Followed too closely' becoming the leading factor in August 2024, accounting for 4 crashes, compared to 0 in the prior year.

11

37.5%was 8

Total Crash Events

0

Persons Killed

4

33.3%was 3

Persons Injured

0

-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

Overall, the trend for crashes in Lunenburg for August indicates an increase year-over-year. Total crashes rose from 8 in August 2023 to 11 in August 2024, representing a 37.5% increase.

Vulnerable Road User Casualties

0

Motorists Killed

Prior: 00.0%

4

Motorists Injured

Prior: 333.3%

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 peak day for crashes remained Saturday in both periods, with crashes on Saturdays increasing from 3 in August 2023 to 7 in August 2024. The peak hour shifted from 4 p.m. with 3 crashes in August 2023 to 3 p.m. with 3 crashes in August 2024. Crashes on Tuesdays and Thursdays appeared in August 2024, whereas August 2023 saw crashes on Mondays, Wednesdays, and Fridays.

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

Fatalities remained at 0 in both August 2023 and August 2024. Total injuries increased from 3 in August 2023 to 4 in August 2024. Minor injury crashes (severity B) remained at 2 in both periods, while possible injury crashes (severity C) increased from 0 to 1.

Outcome by Severity (Crash Events)

Minor Injury2minor injury crashes18.2%
0.0%prior 2
Possible Injury1possible injury crashes9.1%
No Injury8no injury crashes72.7%
60.0%prior 5

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 leading contributing factor shifted from 'No improper driving' (3 crashes) in August 2023 to 'Followed too closely' (4 crashes) in August 2024. 'No improper driving' decreased from 3 crashes to 1 crash, and 'Inattention' decreased from 2 crashes to 1 crash. 'Failed to yield right of way' increased from 1 crash in August 2023 to 2 crashes in August 2024.

Officer-Reported Primary Contributing Cause

Followed too closely4 (36.4%)
Failed to yield right of way2 (18.2%)
No improper driving1 (9.1%)
Operating vehicle in erratic, reckless, careless, negligent or aggressive manner1 (9.1%)
Other improper action1 (9.1%)
Inattention1 (9.1%)
Disregarded traffic signs, signals, road markings1 (9.1%)

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 5 in August 2023 to 10 in August 2024, while crashes in wet road conditions remained at 1 in both periods. Data for lighting conditions was not available for August 2024, preventing a comparison.

Weather

Clear10 (90.9%)
100.0%prior 5
Cloudy/Rain1 (9.1%)

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

Road Surface

Dry10 (90.9%)
42.9%prior 7
Wet1 (9.1%)

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 (22 vehicles)

1
HONDA6 (27.3%)
2
FORD3 (13.6%)
3
SUBARU2 (9.1%)
4
TOYOTA2 (9.1%)
5
BUIC1 (4.5%)
6
JEEP1 (4.5%)
7
KIA1 (4.5%)
8
LINC1 (4.5%)
9
NISSAN1 (4.5%)
10
INFI1 (4.5%)

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

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

Sex Distribution (30 persons with recorded sex)

Female18 (60.0%)
157.1%prior 7
Male12 (40.0%)
20.0%prior 10

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 occurring in 40 mph speed zones increased from 4 in August 2023 to 6 in August 2024, making it the zone with the most crashes in both periods. Crashes in 30 mph zones decreased from 3 to 1. Crashes in 10 mph, 20 mph, and 35 mph zones appeared in August 2024 with 1, 1, and 2 crashes respectively, not being present in August 2023 data.

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: LUNENBURG, MA
  • Total crash records analyzed: 11
  • Total persons involved: 32
  • Total vehicles involved: 22

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). "LUNENBURG, 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/lunenburg/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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Lunenburg, MA Crash Report — August 2024 | ThatCarHitMe.com