Monthly Traffic Safety Analysis

11 CRASHES IN
LAKEVILLE, MA
JULY 2024

All metrics benchmarked againstJuly 2023

In July 2024, Lakeville experienced 11 total crashes, marking an 8.3% decrease compared to the 12 crashes recorded in July 2023. Total injuries also saw a reduction, falling from 4 in the prior period to 3 in the current period. The most notable year-over-year shift was a significant decrease in crashes occurring on Saturdays, which dropped from 7 to 0.

11

-8.3%was 12

Total Crash Events

0

Persons Killed

3

-25.0%was 4

Persons Injured

0

Fatal Crash Events

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 · 2024-07-01 to 2024-07-31 · Aggregate counts from crash, person, and vehicle records

Trend Summary

Overall, crash data for Lakeville shows a slight downward trend year-over-year, with total crashes decreasing by 8.3% from 12 to 11. Similarly, the number of total injuries fell by 25%, from 4 in the prior period to 3 in the current period. Fatalities remained at zero in both periods, indicating a stable trend for the most severe outcomes.

Vulnerable Road User Casualties

0

Motorists Killed

Prior: 00.0%

3

Motorists Injured

Prior: 4-25.0%

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 temporal distribution of crashes shifted significantly, with Saturday crashes decreasing from 7 in the prior period to 0 in the current period. The peak day for crashes moved from Saturday (7 crashes) in July 2023 to Sunday, Monday, and Tuesday (3 crashes each) in July 2024. While the peak number of crashes per hour remained at 2, the specific peak hours varied between periods.

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 and fatal crashes remained at zero for both July 2023 and July 2024. The prior period reported 1 serious injury, which was not observed in the current period. Minor injuries increased from 1 crash (8.3% of total crashes) in the prior period to 2 crashes (18.2% of total crashes) in the current period.

Outcome by Severity (Crash Events)

Minor Injury2minor injury crashes18.2%
100.0%prior 1
No Injury9no injury crashes81.8%
-10.0%prior 10

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

Several contributing factors maintained consistent crash counts year-over-year, with 'Inattention' remaining at 3 crashes and 'Made an improper turn' and 'No improper driving' each staying at 2 crashes. 'Failed to yield right of way' also remained constant at 1 crash in both periods. However, 'Driving too fast for conditions,' 'Followed too closely,' and 'Failure to keep in proper lane or running off road' each appeared with 1 crash in the current period, while 'Operating vehicle in erratic...' and 'Exceeded authorized speed limit' were present in the prior period.

Officer-Reported Primary Contributing Cause

Inattention3 (27.3%)
Made an improper turn2 (18.2%)
No improper driving2 (18.2%)
Driving too fast for conditions1 (9.1%)
Followed too closely1 (9.1%)
Failed to yield right of way1 (9.1%)
Failure to keep in proper lane or running off road1 (9.1%)

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

Crashes occurring in rainy conditions increased from 1 in the prior period to 2 in the current period, mirroring an increase in crashes on wet road surfaces from 1 to 2. Crashes during daylight decreased slightly from 9 in the prior period to 8 in the current period. The distribution of crashes in dark conditions shifted, with 'Dark - lighted roadway' appearing in the current period (1 crash) and 'Dark - roadway not lighted' decreasing from 3 to 1 crash.

Weather

Clear/Clear5 (45.5%)
Clear3 (27.3%)
-40.0%prior 5
Rain2 (18.2%)
Cloudy/Cloudy1 (9.1%)

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

Lighting

Daylight8 (72.7%)
-11.1%prior 9
Dark - lighted roadway1 (9.1%)
Dark - roadway not lighted1 (9.1%)
Dawn1 (9.1%)

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

Road Surface

Dry9 (81.8%)
-18.2%prior 11
Wet2 (18.2%)

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

Vehicles & Demographics

Top Vehicle Makes (21 vehicles)

1
FORD3 (14.3%)
2
HONDA3 (14.3%)
3
CHEVROLET2 (9.5%)
4
NISSAN2 (9.5%)
5
RAM2 (9.5%)
6
VOLKSWAGEN2 (9.5%)
7
SUBARU1 (4.8%)
8
INTL1 (4.8%)
9
HYUNDAI1 (4.8%)
10
INFI1 (4.8%)

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

Sex Distribution (24 persons with recorded sex)

Male14 (58.3%)
27.3%prior 11
Female10 (41.7%)
-23.1%prior 13

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

No fatal crashes were reported in any speed zone during either period. Crashes in the 65 mph zone saw a significant decrease, dropping from 4 in the prior period to 1 in the current period. Conversely, crashes in the 40 mph zone increased from 0 to 6, while the 30 mph zone, which had 2 crashes in the prior period, reported 0 crashes in the current 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: LAKEVILLE, MA
  • Total crash records analyzed: 11
  • Total persons involved: 24
  • Total vehicles involved: 21

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). "LAKEVILLE, 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/lakeville/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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Lakeville, MA Crash Report — July 2024 | ThatCarHitMe.com