Monthly Traffic Safety Analysis

24 CRASHES IN
AVON, MA
JULY 2023

All metrics benchmarked againstJuly 2022

In July 2023, AVON, MA experienced 24 total crashes, which is unchanged from the 24 crashes recorded in July 2022. However, total fatalities decreased from 1 in July 2022 to 0 in July 2023, representing the most notable year-over-year shift. Total injuries also saw a significant decrease, falling from 12 in July 2022 to 5 in July 2023.

24

Total Crash Events

0

-100.0%was 1

Persons Killed

5

-58.3%was 12

Persons Injured

7

75.0%was 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. 1 crash with unreported severity is not shown in the severity breakdown.

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2023-07-01 to 2023-07-31 · Aggregate counts from crash, person, and vehicle records

Trend Summary

The overall trend for total crashes in AVON remained stable year-over-year, with 24 crashes reported in both July 2023 and July 2022. Despite stable crash counts, there was a positive trend in safety outcomes, as total fatalities decreased from 1 to 0 and total injuries dropped from 12 to 5.

7

Hit-and-Run Crashes — July 2023

75.0% vs prior (4)

Hit-and-run crashes increased from 4 in July 2022 to 7 in July 2023. The hit-and-run rate also increased from 16.7% of total crashes in July 2022 to 29.2% in July 2023, indicating an upward trend in these incidents.

Vulnerable Road User Casualties

0

Motorists Killed

Prior: 1-100.0%

5

Motorists Injured

Prior: 12-58.3%

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2023-07-01 to 2023-07-31 · Mode classified from person records (driver/passenger → motorist; pedestrian; bicyclist → cyclist; in-line skater / unspecified → other)

When Crashes Happen

The peak day for crashes remained Friday in both periods, with 7 crashes in July 2023 compared to 6 in July 2022. The peak hour for crashes shifted from 9 p.m. with 3 crashes in July 2022 to 5 p.m. with 3 crashes in July 2023, indicating a change in the timing of peak crash activity.

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2023-07-01 to 2023-07-31 · Crash date field aggregated by weekday

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2023-07-01 to 2023-07-31 · Crash time field aggregated by hour (0-23)

Crash Severity Breakdown

Fatal crashes decreased from 1 in July 2022 to 0 in July 2023. Total injuries also significantly declined from 12 in July 2022 to 5 in July 2023. The proportion of minor injury crashes decreased, with 1 minor injury crash (4.2% of crashes) in July 2023 compared to 5 minor injury crashes (20.8% of crashes) in July 2022.

Outcome by Severity (Crash Events)

Serious Injury1serious injury crashes4.2%
Minor Injury1minor injury crashes4.2%
-80.0%prior 5
Possible Injury2possible injury crashes8.3%
100.0%prior 1
No Injury19no injury crashes79.2%
11.8%prior 17

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2023-07-01 to 2023-07-31 · KABCO injury classification scale

Severity Distribution (Crash Events)

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2023-07-01 to 2023-07-31 · Most severe injury per crash record

Top Contributing Factors

Crashes attributed to 'Followed too closely' decreased by 4, from 6 in July 2022 to 2 in July 2023. 'No improper driving' crashes decreased by 1, from 6 in July 2022 to 5 in July 2023. Conversely, 'Inattention' and 'Distracted' factors emerged as notable contributors in July 2023, each accounting for 3 crashes, whereas they were not explicitly recorded in the top factors for July 2022.

Officer-Reported Primary Contributing Cause

No improper driving5 (20.8%)-16.7%prior 6
Inattention3 (12.5%)
Distracted3 (12.5%)
Followed too closely2 (8.3%)-66.7%prior 6
Failed to yield right of way2 (8.3%)
Driving too fast for conditions1 (4.2%)
Exceeded authorized speed limit1 (4.2%)
Operating defective equipment1 (4.2%)
Operating vehicle in erratic, reckless, careless, negligent or aggressive manner1 (4.2%)

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2023-07-01 to 2023-07-31 · Officer-reported primary contributory cause per crash

Road & Environmental Conditions

Crashes occurring in 'Clear' weather conditions decreased from 19 in July 2022 to 16 in July 2023. Crashes on 'Wet' road surfaces increased significantly from 1 in July 2022 to 7 in July 2023. For lighting, crashes during 'Daylight' increased from 15 in July 2022 to 21 in July 2023, while crashes in 'Dark - roadway not lighted' decreased from 4 to 0.

Weather

Clear16 (66.7%)
-15.8%prior 19
Clear/Unknown2 (8.3%)
Cloudy2 (8.3%)
Rain2 (8.3%)
Clear/Other1 (4.2%)
Cloudy/Rain1 (4.2%)

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2023-07-01 to 2023-07-31 · Weather condition at time of crash

Lighting

Daylight21 (87.5%)
40.0%prior 15
Dark - lighted roadway2 (8.3%)
Dawn1 (4.2%)

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2023-07-01 to 2023-07-31 · Lighting condition field

Road Surface

Dry17 (70.8%)
-26.1%prior 23
Wet7 (29.2%)

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2023-07-01 to 2023-07-31 · Road surface condition field

Vehicles & Demographics

Top Vehicle Makes (44 vehicles)

1
FORD9 (20.5%)
2
HONDA6 (13.6%)
3
TOYOTA6 (13.6%)
-40.0%prior 10
4
NISSAN3 (6.8%)
5
GMC2 (4.5%)
6
JEEP1 (2.3%)
7
MAZDA1 (2.3%)
8
MCLA1 (2.3%)
9
MERCEDES-BENZ1 (2.3%)
10
PTRB1 (2.3%)

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2023-07-01 to 2023-07-31 · Vehicle unit records

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

Sex Distribution (47 persons with recorded sex)

Male28 (59.6%)
-15.2%prior 33
Female19 (40.4%)
-26.9%prior 26

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2023-07-01 to 2023-07-31 · Person-level records linked to crash events

Speed Limit Zones

Crashes in the 65 mph speed limit zone decreased from 13 in July 2022 to 11 in July 2023, with fatalities in this zone decreasing from 1 to 0. Crashes in the 30 mph zone increased by 1, from 4 in July 2022 to 5 in July 2023. Crashes in the 40 mph zone decreased by 2, from 4 in July 2022 to 2 in July 2023.

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2023-07-01 to 2023-07-31 · 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: 2023-07-01 through 2023-07-31
  • Report generated: June 21, 2026

Data Coverage

  • Reporting period: 2023-07-01 through 2023-07-31 (31 days)
  • Geographic scope: AVON, MA
  • Total crash records analyzed: 24
  • Total persons involved: 54
  • Total vehicles involved: 44

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: July 2023." Published June 21, 2026. Reporting period: 2023-07-01 to 2023-07-31. Data source: Massachusetts Crash Data (MassDOT CDV), Arcgis_yearly Open Data. Available at: https://thatcarhitme.com/crash-data/massachusetts/avon/july-2023-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 — July 2023 | ThatCarHitMe.com