Monthly Traffic Safety Analysis

26 CRASHES IN
AVON, MA
OCTOBER 2024

All metrics benchmarked againstOctober 2023

In October 2024, AVON experienced 26 crashes, a decrease of 13.3% compared to the 30 crashes recorded in October 2023. Despite the reduction in overall crashes, total injuries saw a substantial increase, rising from 6 in the prior year to 15 in the current year.

26

-13.3%was 30

Total Crash Events

0

Persons Killed

15

150.0%was 6

Persons Injured

4

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 · 2024-10-01 to 2024-10-31 · Aggregate counts from crash, person, and vehicle records

Trend Summary

Overall, the number of crashes in AVON decreased by 13.3% from 30 in October 2023 to 26 in October 2024. However, this period saw a significant upward trend in injuries, with a 150% increase from 6 injuries in the prior year to 15 injuries in the current year.

4

Hit-and-Run Crashes — October 2024

0.0% vs prior (4)

The number of hit-and-run crashes remained constant at 4 in both October 2023 and October 2024. However, due to a decrease in overall crashes, the hit-and-run rate increased from 13.3% in the prior year to 15.4% in the current year, indicating a slight upward trend in the proportion of crashes involving a hit-and-run.

Vulnerable Road User Casualties

0

Motorists Killed

Prior: 00.0%

15

Motorists Injured

Prior: 6150.0%

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2024-10-01 to 2024-10-31 · 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 Thursday in October 2023 (7 crashes) to Saturday in October 2024 (8 crashes). Similarly, the peak hour for crashes changed from 7 AM with 4 crashes in the prior period to 8 PM with 3 crashes in the current period.

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2024-10-01 to 2024-10-31 · Crash date field aggregated by weekday

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2024-10-01 to 2024-10-31 · Crash time field aggregated by hour (0-23)

Crash Severity Breakdown

Fatal crashes remained at zero in both October 2023 and October 2024. However, injury severity distribution shifted significantly, with minor injury crashes increasing from 1 (3.3% of total crashes) in the prior year to 8 (30.8%) in the current year. Conversely, possible injury crashes decreased from 4 (13.3%) to 1 (3.8%), and crashes with no injury decreased from 25 (83.3%) to 17 (65.4%) year-over-year.

Outcome by Severity (Crash Events)

Minor Injury8minor injury crashes30.8%
700.0%prior 1
Possible Injury1possible injury crashes3.8%
-75.0%prior 4
No Injury17no injury crashes65.4%
-32.0%prior 25

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2024-10-01 to 2024-10-31 · KABCO injury classification scale

Severity Distribution (Crash Events)

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2024-10-01 to 2024-10-31 · Most severe injury per crash record

Top Contributing Factors

The leading contributing factor, 'No improper driving,' decreased in count from 12 in October 2023 to 7 in October 2024. 'Inattention' also saw a reduction from 4 crashes to 3 crashes. Notably, 'Glare' and 'Distracted' appeared as contributing factors in October 2024 with 2 crashes each, whereas they were not among the top factors in the prior year.

Officer-Reported Primary Contributing Cause

No improper driving7 (26.9%)-41.7%prior 12
Inattention3 (11.5%)
Operating vehicle in erratic, reckless, careless, negligent or aggressive manner2 (7.7%)
Glare2 (7.7%)
Distracted2 (7.7%)
Other improper action1 (3.8%)
Swerving or avoiding due to wind, slippery surface, vehicle, object, vulnerable user in roadway1 (3.8%)
Operating defective equipment1 (3.8%)
Followed too closely1 (3.8%)
Failure to keep in proper lane or running off road1 (3.8%)

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2024-10-01 to 2024-10-31 · Officer-reported primary contributory cause per crash

Road & Environmental Conditions

In both periods, the majority of crashes occurred in 'Clear' weather conditions, with 19 crashes in October 2024 and 21 in October 2023. Road surface conditions remained predominantly 'Dry,' accounting for 25 crashes in the current period and 28 in the prior period. Crashes occurring in 'Daylight' conditions were consistent at 17 for both years, while crashes in 'Dark - lighted roadway' decreased from 6 in October 2023 to 4 in October 2024.

Weather

Clear19 (73.1%)
-9.5%prior 21
Clear/Unknown4 (15.4%)
Clear/Clear1 (3.8%)
Cloudy/Cloudy1 (3.8%)
Cloudy/Rain1 (3.8%)

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2024-10-01 to 2024-10-31 · Weather condition at time of crash

Lighting

Daylight17 (65.4%)
0.0%prior 17
Dark - lighted roadway4 (15.4%)
-33.3%prior 6
Dark - roadway not lighted3 (11.5%)
-50.0%prior 6
Dawn1 (3.8%)
Dusk1 (3.8%)

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2024-10-01 to 2024-10-31 · Lighting condition field

Road Surface

Dry25 (96.2%)
-10.7%prior 28
Wet1 (3.8%)

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2024-10-01 to 2024-10-31 · Road surface condition field

Vehicles & Demographics

Top Vehicle Makes (49 vehicles)

1
TOYOTA9 (18.4%)
-10.0%prior 10
2
JEEP6 (12.2%)
-14.3%prior 7
3
HONDA6 (12.2%)
-14.3%prior 7
4
FORD4 (8.2%)
-42.9%prior 7
5
LEXUS2 (4.1%)
6
CHEVROLET2 (4.1%)
-60.0%prior 5
7
BMW2 (4.1%)
8
HYUNDAI2 (4.1%)
9
INFI2 (4.1%)
10
TESL1 (2%)

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2024-10-01 to 2024-10-31 · Vehicle unit records

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

Sex Distribution (56 persons with recorded sex)

Male31 (55.4%)
-6.1%prior 33
Female25 (44.6%)
25.0%prior 20

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2024-10-01 to 2024-10-31 · Person-level records linked to crash events

Speed Limit Zones

Fatal crashes in all speed zones remained at zero for both October 2023 and October 2024. Crashes in the 30 mph speed zone increased from 8 in the prior year to 12 in the current year, while crashes in the 40 mph zone decreased from 7 to 3. There was also a reduction in crashes within the 65 mph zone, decreasing from 8 in October 2023 to 6 in October 2024.

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2024-10-01 to 2024-10-31 · 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: 2024-10-01 through 2024-10-31
  • Report generated: June 21, 2026

Data Coverage

  • Reporting period: 2024-10-01 through 2024-10-31 (31 days)
  • Geographic scope: AVON, MA
  • Total crash records analyzed: 26
  • Total persons involved: 66
  • Total vehicles involved: 49

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). "AVON, MA Crash Intelligence Report: October 2024." Published June 21, 2026. Reporting period: 2024-10-01 to 2024-10-31. Data source: Massachusetts Crash Data (MassDOT CDV), Arcgis_yearly Open Data. Available at: https://thatcarhitme.com/crash-data/massachusetts/avon/october-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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Avon, MA Crash Report — October 2024 | ThatCarHitMe.com