Monthly Traffic Safety Analysis

10 CRASHES IN
MAYNARD, MA
AUGUST 2024

All metrics benchmarked againstAugust 2023

MAYNARD experienced a notable decrease in overall crash activity, with total crashes falling from 13 in August 2023 to 10 in August 2024, representing a 23.1% reduction. This period also saw a significant decline in total injuries, from 3 to 1, while fatalities remained at zero in both periods.

10

-23.1%was 13

Total Crash Events

0

Persons Killed

1

-66.7%was 3

Persons Injured

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, crash activity in MAYNARD showed a downward trend year-over-year. Total crashes decreased by 23.1%, from 13 in August 2023 to 10 in August 2024. Concurrently, the number of reported injuries dropped by 66.7%, from 3 to 1.

1

Hit-and-Run Crashes — August 2024

10.0% hit-and-run rate this period vs 0.0% prior. Prior period: 0.

Vulnerable Road User Casualties

0

Pedestrians Killed

Prior: 00.0%

1

Pedestrians Injured

Prior: 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 distribution of crashes shifted year-over-year, with the peak day moving from Friday (6 crashes) in August 2023 to Thursday (3 crashes) in August 2024. The peak hour also changed from 8 PM (2 crashes) in the prior period to 6 PM (3 crashes) in the current period. Notably, crashes on Friday decreased significantly from 6 to 1, while crashes on Thursday increased from 0 to 3.

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 decreased from 3 in the prior period to 1 in the current period. Minor injury crashes also saw a reduction, from 2 crashes (15.4% of total crashes) in August 2023 to 1 crash (10% of total crashes) in August 2024.

Outcome by Severity (Crash Events)

Minor Injury1minor injury crashes10%
-50.0%prior 2
No Injury9no injury crashes90%
-10.0%prior 10

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 'No improper driving' remained consistent at 4 crashes in both August 2023 and August 2024, though its share of total crashes increased from 30.8% to 40%. Factors such as 'Inattention' (2 crashes), 'Disregarded traffic signs, signals, road markings' (1 crash), 'Other improper action' (1 crash), and 'Visibility obstructed' (1 crash) appeared in the current period but were not among the top factors in the prior period. Conversely, 'Distracted' (1 crash) and 'Operating vehicle in erratic, reckless, careless, negligent or aggressive manner' (1 crash) were noted in the prior period but not in the current period's top factors.

Officer-Reported Primary Contributing Cause

No improper driving4 (40%)
Inattention2 (20%)
Disregarded traffic signs, signals, road markings1 (10%)
Other improper action1 (10%)
Visibility obstructed1 (10%)

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 decreased from 8 in August 2023 to 6 in August 2024, while rain-related crashes also decreased from 3 to 1. Crashes during 'Daylight' conditions decreased from 10 to 8, and crashes on 'Wet' road surfaces decreased from 3 to 1. Crashes occurring in 'Dark - roadway not lighted' conditions, which accounted for 1 crash in the prior period, were not reported in the current period.

Weather

Clear6 (60.0%)
-25.0%prior 8
Clear/Other1 (10.0%)
Cloudy1 (10.0%)
Cloudy/Clear1 (10.0%)
Rain/Severe crosswinds1 (10.0%)

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

Lighting

Daylight8 (80.0%)
-20.0%prior 10
Dark - lighted roadway2 (20.0%)

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

Road Surface

Dry9 (90.0%)
-10.0%prior 10
Wet1 (10.0%)

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 (18 vehicles)

1
TOYOTA4 (22.2%)
-33.3%prior 6
2
FORD2 (11.1%)
-71.4%prior 7
3
HYUNDAI1 (5.6%)
4
JEEP1 (5.6%)
5
CADI1 (5.6%)
6
MNNI1 (5.6%)
7
NISSAN1 (5.6%)
8
RAM1 (5.6%)
9
SUBARU1 (5.6%)
10
MAZDA1 (5.6%)

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

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

Sex Distribution (19 persons with recorded sex)

Male10 (52.6%)
-28.6%prior 14
Female9 (47.4%)
-25.0%prior 12

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 the 25 mph speed zone decreased from 5 in August 2023 to 4 in August 2024, and those in the 35 mph zone decreased from 4 to 2. Conversely, crashes in the 30 mph zone increased from 1 to 3. The prior period included crashes in 5 mph (2 crashes) and 15 mph (1 crash) zones, which were absent in the current period, while the current period had 1 crash in the 10 mph zone, which was not present in the prior 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: MAYNARD, MA
  • Total crash records analyzed: 10
  • Total persons involved: 21
  • Total vehicles involved: 18

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). "MAYNARD, 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/maynard/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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Maynard, MA Crash Report — August 2024 | ThatCarHitMe.com