ThatCarHitMe.com
An Injuria.ai Company
YEAR-OVER-YEAR CRASH REPORT · AVON, MA · 2024
Purpose: Machine-readable JSON endpoint for AI agents, LLMs, researchers, and programmatic consumers. Returns all underlying crash data and AI-generated commentary without HTML.
Authentication: None required. Public endpoint.
GET: https://thatcarhitme.com/api/crash-data/reports/data/massachusetts/avon/2024-annual-report
Yearly Traffic Safety Analysis
331 CRASHES IN
AVON, MA
2024
In 2024, Avon recorded 331 total traffic crashes, an 11.1% increase from the 298 crashes documented in 2023. While the number of fatalities remained unchanged at one, total injuries rose from 130 to 140. A notable year-over-year shift was the significant increase in angle-type collisions, which rose by 59.2% from 49 incidents in 2023 to 78 in 2024.
331
▲ 11.1%was 298
Total Crash Events
1
Persons Killed
140
▲ 7.7%was 130
Persons Injured
50
▲ 16.3%was 43
Hit-and-Run Crashes
Note: "Persons Killed" (1) counts individual fatalities across all crash events. "Fatal" in the severity table below (1) counts crash events where at least one fatality occurred. A single crash can result in multiple fatalities. 9 crashes with unreported severity are not shown in the severity breakdown.
Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2024-01-01 to 2024-12-31 · Aggregate counts from crash, person, and vehicle records
Trend Summary
Crash data for Avon indicates an upward trend in collision frequency year-over-year. Total crashes increased by 11.1%, rising from 298 in 2023 to 331 in 2024. This trend was accompanied by a 7.7% increase in total injuries, which grew from 130 to 140, while fatalities held steady at one death in each period.
50
Hit-and-Run Crashes — 2024
▲ 16.3% vs prior (43)
Hit-and-run incidents increased in both absolute numbers and as a proportion of total crashes. The count of hit-and-run crashes rose from 43 in 2023 to 50 in 2024, representing a 16.3% increase. The hit-and-run rate, which measures the percentage of all crashes that are hit-and-runs, also trended upward, climbing from 14.4% in the prior year to 15.1% in the current year.
Vulnerable Road User Casualties
0
Pedestrians Killed
1
Motorists Killed
2
Pedestrians Injured
138
Motorists Injured
Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2024-01-01 to 2024-12-31 · Mode classified from person records (driver/passenger → motorist; pedestrian; bicyclist → cyclist; in-line skater / unspecified → other)
When Crashes Happen
The temporal patterns of crashes in Avon shifted between the two periods. In 2024, the peak time for crashes moved earlier in the day to 1 p.m. (28 crashes), a change from the 4 p.m. peak observed in 2023 (21 crashes). While Tuesday remained a peak day for crashes, Saturday emerged as an equally high-frequency day in 2024, with both days recording 53 incidents, compared to 2023's single peak day of Tuesday with 48 crashes.
Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2024-01-01 to 2024-12-31 · Crash date field aggregated by weekday
Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2024-01-01 to 2024-12-31 · Crash time field aggregated by hour (0-23)
Crash Severity Breakdown
The crash severity profile showed mixed changes year-over-year. The number of fatal crashes remained constant at one incident in both 2023 and 2024, resulting in a slight decrease in the fatal crash rate from 0.34% to 0.30% due to the higher total crash volume. The count of serious injury crashes decreased from 7 to 6, while minor injury crashes increased from 33 to 49. Overall, the share of crashes resulting in no injuries decreased from 72.1% to 70.4%.
Outcome by Severity (Crash Events)
Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2024-01-01 to 2024-12-31 · KABCO injury classification scale
Severity Distribution (Crash Events)
Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2024-01-01 to 2024-12-31 · Most severe injury per crash record
Top Contributing Factors
The leading contributing factors for crashes remained largely consistent between periods, with 'No improper driving' being the most common classification, increasing in count from 106 to 116 incidents. However, there was a notable 70% increase in the count of crashes attributed to 'Operating vehicle in erratic, reckless, careless, negligent or aggressive manner,' which rose from 10 incidents in 2023 to 17 in 2024. Conversely, crashes involving 'Inattention' saw a decrease in count from 32 to 27, and 'Followed too closely' incidents decreased from 25 to 22.
Officer-Reported Primary Contributing Cause
Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2024-01-01 to 2024-12-31 · Officer-reported primary contributory cause per crash
Road & Environmental Conditions
In both 2023 and 2024, the majority of crashes occurred in clear weather on dry roads during daylight hours. However, the number of crashes reported during adverse weather conditions increased in 2024, with incidents in the rain rising from 11 to 20 and crashes in the snow increasing from 2 to 9. Similarly, crashes on snowy road surfaces increased from zero in 2023 to 12 in 2024. The proportion of crashes occurring in daylight remained stable at approximately 62% for both years.
Weather
Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2024-01-01 to 2024-12-31 · Weather condition at time of crash
Lighting
Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2024-01-01 to 2024-12-31 · Lighting condition field
Road Surface
Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2024-01-01 to 2024-12-31 · Road surface condition field
Vehicles & Demographics
The most common vehicle makes involved in crashes remained consistent, with Toyota, Honda, Ford, and Nissan comprising the top four in both 2023 and 2024. An analysis of persons involved in crashes shows a significant increase in the representation of younger age groups. The number of individuals aged 16-20 involved in crashes rose from 54 to 75, while the 21-25 age group increased from 74 to 95. Combined, the involvement of persons aged 16-25 grew by 32.8% year-over-year.
Top Vehicle Makes (644 vehicles)
Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2024-01-01 to 2024-12-31 · Vehicle unit records
101 persons with unknown or unrecorded age excluded from age chart.
Sex Distribution (690 persons with recorded sex)
Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2024-01-01 to 2024-12-31 · Person-level records linked to crash events
Speed Limit Zones
Analysis of crash locations by posted speed limit reveals a shift in incident patterns. The number of crashes occurring in 30 mph zones increased substantially from 76 in 2023 to 105 in 2024. Concurrently, crashes in higher speed zones decreased, with incidents in 40 mph zones dropping from 70 to 58 and those in 65 mph zones falling from 82 to 75. The single fatal crash in 2024 occurred in a 40 mph zone, whereas the fatality in 2023 was recorded in a 65 mph zone.
Fatal crashes by zone: 40 mph: 1 of 58 (1.724%)
Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2024-01-01 to 2024-12-31 · 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: 2024-01-01 through 2024-12-31
- Report generated: June 21, 2026
Data Coverage
- Reporting period: 2024-01-01 through 2024-12-31 (366 days)
- Geographic scope: AVON, MA
- Total crash records analyzed: 331
- Total persons involved: 814
- Total vehicles involved: 644
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: 2024." Published June 21, 2026. Reporting period: 2024-01-01 to 2024-12-31. Data source: Massachusetts Crash Data (MassDOT CDV), Arcgis_yearly Open Data. Available at: https://thatcarhitme.com/crash-data/massachusetts/avon/2024-annual-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
ThatCarHitMe.com · An Injuria.ai Company
ThatCarHitMe.com
An Injuria.ai Company
Crash Data Intelligence
Data: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly
Period: 2024-01-01 – 2024-12-31
Generated: June 21, 2026 · All rights reserved