Monthly Traffic Safety Analysis

26 CRASHES IN
AVON, MA
APRIL 2024

All metrics benchmarked againstApril 2023

AVON experienced a decrease in total crashes in April 2024 compared to April 2023, with crashes falling from 31 to 26, representing a 16.13% reduction. The most notable shift was in fatalities, which decreased from 1 in April 2023 to 0 in April 2024.

26

-16.1%was 31

Total Crash Events

0

-100.0%was 1

Persons Killed

14

-48.1%was 27

Persons Injured

2

-33.3%was 3

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 · 2024-04-01 to 2024-04-30 · Aggregate counts from crash, person, and vehicle records

Trend Summary

Overall, crash data for AVON indicates a downward trend year-over-year. Total crashes decreased by 5, from 31 in April 2023 to 26 in April 2024. Concurrently, total injuries fell from 27 to 14, and there were no fatalities reported in April 2024 compared to 1 in the prior year.

2

Hit-and-Run Crashes — April 2024

-33.3% vs prior (3)

The number of hit-and-run crashes decreased from 3 in April 2023 to 2 in April 2024. Consequently, the hit-and-run rate also saw a decrease, moving from 9.7% of total crashes in April 2023 to 7.7% in April 2024.

Vulnerable Road User Casualties

0

Pedestrians Killed

Prior: 00.0%

0

Motorists Killed

Prior: 1-100.0%

1

Pedestrians Injured

Prior: 0%

13

Motorists Injured

Prior: 27-51.9%

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2024-04-01 to 2024-04-30 · Mode classified from person records (driver/passenger → motorist; pedestrian; bicyclist → cyclist; in-line skater / unspecified → other)

When Crashes Happen

The peak day for crashes shifted from Friday with 7 crashes in April 2023 to Thursday with 8 crashes in April 2024. Similarly, the peak crash hour changed from 2 PM with 4 crashes in April 2023 to 9 PM with 3 crashes in April 2024, indicating a shift in daily and hourly crash patterns.

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2024-04-01 to 2024-04-30 · Crash date field aggregated by weekday

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2024-04-01 to 2024-04-30 · Crash time field aggregated by hour (0-23)

Crash Severity Breakdown

The severity distribution changed significantly year-over-year, with no fatal or serious injury crashes reported in April 2024, compared to 1 fatal crash and 2 serious injury crashes in April 2023. Total injuries decreased from 27 to 14. While minor injury crashes accounted for 19.4% of crashes in April 2023, they represented 23.1% in April 2024.

Outcome by Severity (Crash Events)

Minor Injury6minor injury crashes23.1%
0.0%prior 6
Possible Injury3possible injury crashes11.5%
-50.0%prior 6
No Injury17no injury crashes65.4%
6.3%prior 16

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2024-04-01 to 2024-04-30 · KABCO injury classification scale

Severity Distribution (Crash Events)

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2024-04-01 to 2024-04-30 · Most severe injury per crash record

Top Contributing Factors

Comparing contributing factors, 'No improper driving' increased in count from 6 in April 2023 to 8 in April 2024. Crashes attributed to 'Inattention' decreased from 4 to 2, while 'Operating vehicle in erratic, reckless, careless, negligent or aggressive manner' increased from 1 to 4. Factors such as 'Driving too fast for conditions' and 'Exceeded authorized speed limit', which accounted for 3 and 2 crashes respectively in April 2023, were not present in April 2024.

Officer-Reported Primary Contributing Cause

No improper driving8 (30.8%)33.3%prior 6
Operating vehicle in erratic, reckless, careless, negligent or aggressive manner4 (15.4%)
Followed too closely2 (7.7%)
Inattention2 (7.7%)
Failed to yield right of way1 (3.8%)
Operating defective equipment1 (3.8%)
Disregarded traffic signs, signals, road markings1 (3.8%)

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2024-04-01 to 2024-04-30 · Officer-reported primary contributory cause per crash

Road & Environmental Conditions

Crashes occurring in 'Clear' weather conditions decreased from 18 in April 2023 to 13 in April 2024, while crashes in 'Rain' conditions increased from 1 to 6. Regarding lighting, 'Daylight' crashes decreased from 20 to 13, and 'Dark - lighted roadway' crashes increased from 3 to 6. There was a notable increase in crashes on 'Wet' road surfaces, rising from 2 in April 2023 to 9 in April 2024, while 'Dry' surface crashes decreased from 29 to 17.

Weather

Clear13 (50.0%)
-27.8%prior 18
Rain6 (23.1%)
Cloudy2 (7.7%)
Rain/Cloudy2 (7.7%)
Cloudy/Rain1 (3.8%)
Clear/Other1 (3.8%)
Clear/Unknown1 (3.8%)

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2024-04-01 to 2024-04-30 · Weather condition at time of crash

Lighting

Daylight13 (50.0%)
-35.0%prior 20
Dark - lighted roadway6 (23.1%)
Dark - roadway not lighted3 (11.5%)
-40.0%prior 5
Dawn2 (7.7%)
Dusk2 (7.7%)

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2024-04-01 to 2024-04-30 · Lighting condition field

Road Surface

Dry17 (65.4%)
-41.4%prior 29
Wet9 (34.6%)

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2024-04-01 to 2024-04-30 · Road surface condition field

Vehicles & Demographics

Top Vehicle Makes (48 vehicles)

1
TOYOTA9 (18.8%)
0.0%prior 9
2
FORD8 (16.7%)
14.3%prior 7
3
HONDA7 (14.6%)
-12.5%prior 8
4
CHEVROLET3 (6.3%)
5
NISSAN3 (6.3%)
-40.0%prior 5
6
ACURA2 (4.2%)
7
AUDI2 (4.2%)
8
HYUNDAI2 (4.2%)
9
LEXUS2 (4.2%)
10
SUBARU2 (4.2%)

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2024-04-01 to 2024-04-30 · Vehicle unit records

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

Sex Distribution (62 persons with recorded sex)

Male34 (54.8%)
6.3%prior 32
Female28 (45.2%)
-24.3%prior 37

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2024-04-01 to 2024-04-30 · Person-level records linked to crash events

Speed Limit Zones

Crashes in 65 mph zones decreased from 9 in April 2023 to 5 in April 2024, with the prior year recording 1 fatal crash in this speed zone. Conversely, crashes in 30 mph zones increased from 7 to 11. Crashes in 40 mph zones decreased from 8 to 4 year-over-year.

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2024-04-01 to 2024-04-30 · 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: 2024-04-01 through 2024-04-30
  • Report generated: June 21, 2026

Data Coverage

  • Reporting period: 2024-04-01 through 2024-04-30 (30 days)
  • Geographic scope: AVON, MA
  • Total crash records analyzed: 26
  • Total persons involved: 64
  • Total vehicles involved: 48

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: April 2024." Published June 21, 2026. Reporting period: 2024-04-01 to 2024-04-30. Data source: Massachusetts Crash Data (MassDOT CDV), Arcgis_yearly Open Data. Available at: https://thatcarhitme.com/crash-data/massachusetts/avon/april-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 — April 2024 | ThatCarHitMe.com