Monthly Traffic Safety Analysis

30 CRASHES IN
AVON, MA
DECEMBER 2022

All metrics benchmarked againstDecember 2021

AVON experienced an increase in total crashes from December 2021 to December 2022, rising from 24 to 30 incidents, which is a 25% increase. Despite this rise in total crashes, the number of total injuries decreased by 33.3%, from 12 to 8. No fatal crashes were recorded in either period.

30

25.0%was 24

Total Crash Events

0

Persons Killed

8

-33.3%was 12

Persons Injured

1

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 · 2022-12-01 to 2022-12-31 · Aggregate counts from crash, person, and vehicle records

Trend Summary

Total crashes in AVON increased by 25% year-over-year, from 24 crashes in December 2021 to 30 crashes in December 2022. This indicates an upward trend in crash incidents for the month of December. Concurrently, total injuries decreased by 33.3%, from 12 to 8.

1

Hit-and-Run Crashes — December 2022

0.0% vs prior (1)

The number of hit-and-run crashes remained constant at 1 incident in both December 2021 and December 2022. However, the hit-and-run rate decreased from 4.2% of total crashes in December 2021 to 3.3% in December 2022. This indicates a slight downward trend in the proportion of crashes involving hit-and-run.

Vulnerable Road User Casualties

0

Motorists Killed

Prior: 00.0%

8

Motorists Injured

Prior: 12-33.3%

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2022-12-01 to 2022-12-31 · Mode classified from person records (driver/passenger → motorist; pedestrian; bicyclist → cyclist; in-line skater / unspecified → other)

When Crashes Happen

The peak day for crashes shifted from Wednesday with 7 crashes in December 2021 to Friday with 6 crashes in December 2022. The peak crash hour also changed, moving from 7 PM with 3 crashes in December 2021 to 11 PM with 4 crashes in December 2022. Notably, crashes on Thursdays increased significantly from 0 in December 2021 to 6 in December 2022.

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2022-12-01 to 2022-12-31 · Crash date field aggregated by weekday

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2022-12-01 to 2022-12-31 · Crash time field aggregated by hour (0-23)

Crash Severity Breakdown

There were no fatal crashes or fatalities reported in either December 2021 or December 2022. Total injuries decreased from 12 in December 2021 to 8 in December 2022, a 33.3% reduction. The proportion of minor injury crashes decreased from 12.5% to 6.7%, while possible injury crashes slightly increased their share from 12.5% to 13.3% of total crashes.

Outcome by Severity (Crash Events)

Minor Injury2minor injury crashes6.7%
-33.3%prior 3
Possible Injury4possible injury crashes13.3%
33.3%prior 3
No Injury24no injury crashes80%
41.2%prior 17

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2022-12-01 to 2022-12-31 · KABCO injury classification scale

Severity Distribution (Crash Events)

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2022-12-01 to 2022-12-31 · Most severe injury per crash record

Top Contributing Factors

"No improper driving" remained the most frequent contributing factor, increasing from 11 crashes in December 2021 to 16 crashes in December 2022. Crashes attributed to "Inattention" remained constant at 3 incidents in both periods. "Failed to yield right of way" and "Followed too closely" each decreased by 1 crash, from 2 incidents to 1.

Officer-Reported Primary Contributing Cause

No improper driving16 (53.3%)45.5%prior 11
Inattention3 (10%)
Failure to keep in proper lane or running off road2 (6.7%)
Followed too closely1 (3.3%)
Driving too fast for conditions1 (3.3%)
Over-correcting/over-steering1 (3.3%)
Visibility obstructed1 (3.3%)
Failed to yield right of way1 (3.3%)

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2022-12-01 to 2022-12-31 · Officer-reported primary contributory cause per crash

Road & Environmental Conditions

In December 2022, crashes in "Clear" weather conditions decreased slightly from 15 to 14, while crashes in "Rain" conditions increased from 1 to 5 compared to December 2021. Crashes on "Wet" road surfaces increased from 5 to 9 incidents year-over-year. The number of crashes occurring in "Dark - roadway not lighted" conditions more than doubled, rising from 4 to 9 incidents.

Weather

Clear14 (46.7%)
-6.7%prior 15
Rain5 (16.7%)
Cloudy5 (16.7%)
Clear/Other2 (6.7%)
Unknown/Other1 (3.3%)
Rain/Snow1 (3.3%)
Snow1 (3.3%)
Clear/Unknown1 (3.3%)

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2022-12-01 to 2022-12-31 · Weather condition at time of crash

Lighting

Daylight14 (48.3%)
16.7%prior 12
Dark - roadway not lighted9 (31.0%)
Dark - lighted roadway5 (17.2%)
0.0%prior 5
Dusk1 (3.4%)

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2022-12-01 to 2022-12-31 · Lighting condition field

Road Surface

Dry19 (65.5%)
5.6%prior 18
Wet9 (31.0%)
80.0%prior 5
Snow1 (3.4%)

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2022-12-01 to 2022-12-31 · Road surface condition field

Vehicles & Demographics

Top Vehicle Makes (56 vehicles)

1
HONDA9 (16.1%)
12.5%prior 8
2
TOYOTA9 (16.1%)
3
FORD6 (10.7%)
0.0%prior 6
4
CHEVROLET4 (7.1%)
5
ACURA3 (5.4%)
6
HYUNDAI3 (5.4%)
7
NISSAN3 (5.4%)
-50.0%prior 6
8
KIA2 (3.6%)
9
DODGE2 (3.6%)
10
FRHT2 (3.6%)

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2022-12-01 to 2022-12-31 · Vehicle unit records

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

Sex Distribution (62 persons with recorded sex)

Male35 (56.5%)
6.1%prior 33
Female27 (43.5%)
50.0%prior 18

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2022-12-01 to 2022-12-31 · Person-level records linked to crash events

Speed Limit Zones

Crashes in 30 MPH zones decreased from 9 in December 2021 to 6 in December 2022. Conversely, crashes in 40 MPH zones increased from 4 to 6, and crashes in 65 MPH zones rose from 6 to 8. There were no fatal crashes reported in any speed zone during either period.

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2022-12-01 to 2022-12-31 · 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: 2022-12-01 through 2022-12-31
  • Report generated: June 21, 2026

Data Coverage

  • Reporting period: 2022-12-01 through 2022-12-31 (31 days)
  • Geographic scope: AVON, MA
  • Total crash records analyzed: 30
  • Total persons involved: 69
  • Total vehicles involved: 56

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: December 2022." Published June 21, 2026. Reporting period: 2022-12-01 to 2022-12-31. Data source: Massachusetts Crash Data (MassDOT CDV), Arcgis_yearly Open Data. Available at: https://thatcarhitme.com/crash-data/massachusetts/avon/december-2022-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 — December 2022 | ThatCarHitMe.com