Monthly Traffic Safety Analysis

10 CRASHES IN
AYER, MA
DECEMBER 2022

All metrics benchmarked againstDecember 2021

In December 2022, AYER, MA experienced 10 total crashes, a 66.67% increase compared to the 6 crashes recorded in December 2021. The most notable year-over-year shift was the absence of fatalities in December 2022, down from 1 fatality in December 2021. Total injuries increased from 0 in December 2021 to 3 in December 2022.

10

66.7%was 6

Total Crash Events

0

-100.0%was 1

Persons Killed

3

Persons Injured

0

-100.0%was 1

Fatal Crash Events

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

Overall, the trend for crashes in AYER, MA shows an increase year-over-year, with total crashes rising from 6 in December 2021 to 10 in December 2022, representing a 66.67% increase. While total injuries increased from 0 to 3, total fatalities decreased from 1 in December 2021 to 0 in December 2022.

Vulnerable Road User Casualties

0

Motorists Killed

Prior: 1-100.0%

3

Motorists Injured

Prior: 0%

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 temporal patterns for crashes shifted year-over-year, with the peak crash day moving from Friday (2 crashes) in December 2021 to Saturday (2 crashes) in December 2022. The peak crash hour also changed significantly, from 10 AM (2 crashes) in December 2021 to 4 PM (2 crashes) in December 2022. Crashes on Sundays and Mondays increased from 0 in December 2021 to 1 and 2 respectively 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

The severity distribution of crashes changed notably, with December 2021 recording 1 fatal crash (16.7% of total crashes) and 0 injuries, while December 2022 had 0 fatal crashes and 3 minor injuries (30% of total crashes). This indicates a decrease in fatal crashes from 1 to 0, and an increase in injury-involved crashes from 0 to 3. The proportion of "No Injury" crashes decreased from 83.3% in December 2021 to 70% in December 2022.

Outcome by Severity (Crash Events)

Minor Injury3minor injury crashes30%
No Injury7no injury crashes70%
40.0%prior 5

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

Inattention remained a leading contributing factor, increasing from 3 crashes in December 2021 to 4 crashes in December 2022. "No improper driving" remained constant at 1 crash in both periods. Factors like "Failure to keep in proper lane or running off road" (1 crash) and "Fatigued/asleep" (1 crash) were present in December 2021 but not in December 2022, while "Swerving or avoiding due to wind, slippery surface, vehicle, object, vulnerable user in roadway" emerged as a factor in 2 crashes in December 2022.

Officer-Reported Primary Contributing Cause

Inattention4 (40%)
Swerving or avoiding due to wind, slippery surface, vehicle, object, vulnerable user in roadway2 (20%)
Followed too closely1 (10%)
No improper driving1 (10%)
Other improper action1 (10%)
Wrong side or wrong way1 (10%)

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

Crashes under "Clear" weather conditions increased from 3 in December 2021 to 7 in December 2022, and "Daylight" crashes rose from 2 to 7. Conversely, crashes under "Dark - lighted roadway" conditions decreased from 2 to 1. The prior period recorded 3 crashes on "Wet" road surfaces, a condition not present in the current period, which instead saw 2 crashes on "Ice" and 1 on "Snow" road surfaces.

Weather

Clear7 (70.0%)
Cloudy2 (20.0%)
Snow1 (10.0%)

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

Lighting

Daylight7 (70.0%)
Dark - lighted roadway1 (10.0%)
Dark - roadway not lighted1 (10.0%)
Dusk1 (10.0%)

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

Road Surface

Dry7 (70.0%)
Ice2 (20.0%)
Snow1 (10.0%)

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 (18 vehicles)

1
TOYOTA6 (33.3%)
2
SUBARU3 (16.7%)
3
FORD3 (16.7%)
4
CHEVROLET2 (11.1%)
5
JEEP1 (5.6%)
6
LINC1 (5.6%)
7
HONDA1 (5.6%)
8
DODGE1 (5.6%)

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

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

Sex Distribution (19 persons with recorded sex)

Male11 (57.9%)
120.0%prior 5
Female8 (42.1%)
14.3%prior 7

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 occurring in 25 mph speed zones decreased from 6 crashes in December 2021 to 4 crashes in December 2022, eliminating the 1 fatal crash previously recorded in this zone. The current period shows crashes distributed across higher speed limits, including 2 crashes at 30 mph, 3 crashes at 35 mph, and 1 crash at 40 mph, which were not present in the prior period's data.

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: AYER, MA
  • Total crash records analyzed: 10
  • Total persons involved: 20
  • Total vehicles involved: 18

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). "AYER, 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/ayer/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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Ayer, MA Crash Report — December 2022 | ThatCarHitMe.com