Monthly Traffic Safety Analysis

21 CRASHES IN
AVON, MA
APRIL 2026

All metrics benchmarked againstApril 2025

In April 2026, AVON experienced 21 total crashes, a 25% decrease compared to the 28 crashes recorded in April 2025. The most notable year-over-year shift was a significant 52.6% reduction in total injuries, falling from 19 to 9.

21

-25.0%was 28

Total Crash Events

0

Persons Killed

9

-52.6%was 19

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

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2026-04-01 to 2026-04-30 · Aggregate counts from crash, person, and vehicle records

Trend Summary

The overall trend indicates a decrease in crash activity year-over-year, with total crashes falling by 25% from 28 to 21. This reduction is accompanied by a substantial 52.6% decrease in total injuries, which dropped from 19 in April 2025 to 9 in April 2026.

2

Hit-and-Run Crashes — April 2026

-33.3% vs prior (3)

The number of hit-and-run crashes decreased from 3 in April 2025 to 2 in April 2026. The hit-and-run crash rate also saw a slight decrease, moving from 10.7% of total crashes in the prior period to 9.5% in the current period.

Vulnerable Road User Casualties

0

Motorists Killed

Prior: 00.0%

9

Motorists Injured

Prior: 19-52.6%

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2026-04-01 to 2026-04-30 · 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 Wednesday with 6 crashes in April 2025 to Friday with 8 crashes in April 2026. The peak hour for crashes shifted from 3 PM in the prior period to 2 PM in the current period, with both periods recording 3 crashes at their respective peak hours. There was a notable decrease in crashes on Tuesday, falling from 5 to 0.

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2026-04-01 to 2026-04-30 · Crash date field aggregated by weekday

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2026-04-01 to 2026-04-30 · Crash time field aggregated by hour (0-23)

Crash Severity Breakdown

No fatal crashes occurred in either April 2025 or April 2026. Total injury crashes decreased by 54.5%, from 11 in April 2025 to 5 in April 2026. While serious injury crashes remained at 2 in both periods, minor injury crashes decreased from 6 to 2, and possible injury crashes decreased from 3 to 1.

Outcome by Severity (Crash Events)

Serious Injury2serious injury crashes9.5%
0.0%prior 2
Minor Injury2minor injury crashes9.5%
-66.7%prior 6
Possible Injury1possible injury crashes4.8%
-66.7%prior 3
No Injury15no injury crashes71.4%
0.0%prior 15

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2026-04-01 to 2026-04-30 · KABCO injury classification scale

Severity Distribution (Crash Events)

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2026-04-01 to 2026-04-30 · Most severe injury per crash record

Top Contributing Factors

Crashes attributed to "No improper driving" decreased from 11 in April 2025 to 9 in April 2026. Conversely, crashes where "Failed to yield right of way" was a factor increased by 150% in count, rising from 2 to 5. "Failure to keep in proper lane or running off road" also saw an increase, from 1 crash to 2 crashes year-over-year.

Officer-Reported Primary Contributing Cause

No improper driving9 (42.9%)-18.2%prior 11
Failed to yield right of way5 (23.8%)
Failure to keep in proper lane or running off road2 (9.5%)
Inattention1 (4.8%)
Other improper action1 (4.8%)

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2026-04-01 to 2026-04-30 · Officer-reported primary contributory cause per crash

Road & Environmental Conditions

Crashes occurring in "Clear" weather conditions decreased from 22 in April 2025 to 18 in April 2026. Crashes on "Dry" road surfaces decreased from 23 to 18, while those on "Wet" surfaces decreased from 5 to 3. Crashes during "Daylight" conditions saw a decrease from 23 to 15, but crashes in "Dark - lighted roadway" conditions increased from 1 to 3.

Weather

Clear14 (66.7%)
-6.7%prior 15
Clear/Unknown4 (19.0%)
Cloudy/Rain2 (9.5%)
Rain1 (4.8%)

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2026-04-01 to 2026-04-30 · Weather condition at time of crash

Lighting

Daylight15 (71.4%)
-34.8%prior 23
Dark - lighted roadway3 (14.3%)
Dark - roadway not lighted3 (14.3%)

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2026-04-01 to 2026-04-30 · Lighting condition field

Road Surface

Dry18 (85.7%)
-21.7%prior 23
Wet3 (14.3%)
-40.0%prior 5

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2026-04-01 to 2026-04-30 · Road surface condition field

Vehicles & Demographics

Top Vehicle Makes (43 vehicles)

1
TOYOTA7 (16.3%)
-53.3%prior 15
2
HONDA6 (14%)
-40.0%prior 10
3
NISSAN4 (9.3%)
4
FORD4 (9.3%)
5
LEXUS3 (7%)
6
KIA3 (7%)
7
JEEP2 (4.7%)
8
RAMB1 (2.3%)
9
SUBARU1 (2.3%)
10
ACURA1 (2.3%)

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2026-04-01 to 2026-04-30 · Vehicle unit records

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

Sex Distribution (48 persons with recorded sex)

Male25 (52.1%)
-30.6%prior 36
Female23 (47.9%)
15.0%prior 20

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2026-04-01 to 2026-04-30 · Person-level records linked to crash events

Speed Limit Zones

Crashes in the 30 mph speed zone remained constant at 12 in both periods. Crashes in the 40 mph zone decreased from 8 in April 2025 to 3 in April 2026, and the 35 mph zone saw a decrease from 3 to 1 crash. The current period also reported 1 crash each in 5 mph and 10 mph zones, which were not present in the prior period's data.

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

Data Coverage

  • Reporting period: 2026-04-01 through 2026-04-30 (30 days)
  • Geographic scope: AVON, MA
  • Total crash records analyzed: 21
  • Total persons involved: 53
  • Total vehicles involved: 43

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