Monthly Traffic Safety Analysis

12 CRASHES IN
AYER, MA
JULY 2025

All metrics benchmarked againstJuly 2024

In July 2025, Ayer experienced 12 total crashes, marking a 14.3% decrease from the 14 crashes recorded in July 2024. The most notable year-over-year shift was a significant reduction in total injuries, which dropped from 7 in the prior period to 2 in the current period.

12

-14.3%was 14

Total Crash Events

0

Persons Killed

2

-71.4%was 7

Persons Injured

0

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 · 2025-07-01 to 2025-07-31 · Aggregate counts from crash, person, and vehicle records

Trend Summary

Overall, crash incidents in Ayer decreased year-over-year, with total crashes falling by 2 (14.3%) from 14 in July 2024 to 12 in July 2025. This reduction was accompanied by a substantial 71.4% decrease in total injuries, from 7 to 2, between the two periods.

Vulnerable Road User Casualties

0

Motorists Killed

Prior: 00.0%

2

Motorists Injured

Prior: 6-66.7%

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2025-07-01 to 2025-07-31 · 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 Monday, which had 4 crashes in July 2024, to both Monday and Wednesday, each with 3 crashes, in July 2025. The peak hour for crashes also became more distributed, moving from a single peak of 4 crashes at 4 p.m. in the prior period to multiple hours, including 6 p.m., 12 p.m., and 4 p.m., each with 2 crashes, in the current period.

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2025-07-01 to 2025-07-31 · Crash date field aggregated by weekday

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2025-07-01 to 2025-07-31 · Crash time field aggregated by hour (0-23)

Crash Severity Breakdown

Both July 2024 and July 2025 reported no fatalities. Total injuries decreased significantly from 7 in the prior period to 2 in the current period, a reduction of 5 injuries. The proportion of crashes resulting in injury also decreased from 50% in July 2024 to 16.7% in July 2025, with no serious or possible injuries reported in the current period compared to 2 serious and 3 possible injuries in the prior period.

Outcome by Severity (Crash Events)

Minor Injury2minor injury crashes16.7%
0.0%prior 2
No Injury10no injury crashes83.3%
42.9%prior 7

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2025-07-01 to 2025-07-31 · KABCO injury classification scale

Severity Distribution (Crash Events)

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2025-07-01 to 2025-07-31 · Most severe injury per crash record

Top Contributing Factors

Crashes attributed to 'Inattention' increased from 1 in July 2024 to 3 in July 2025, representing a 200% increase in count. Conversely, crashes due to 'Followed too closely' decreased from 2 in the prior period to 0 in the current period. 'Distracted' driving crashes also saw a reduction from 2 to 1 between the two periods, while crashes with 'No improper driving' increased from 1 to 2.

Officer-Reported Primary Contributing Cause

Inattention3 (25%)
Made an improper turn2 (16.7%)
No improper driving2 (16.7%)
Illness1 (8.3%)
Disregarded traffic signs, signals, road markings1 (8.3%)
Over-correcting/over-steering1 (8.3%)
Distracted1 (8.3%)
Failed to yield right of way1 (8.3%)

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2025-07-01 to 2025-07-31 · Officer-reported primary contributory cause per crash

Road & Environmental Conditions

Daylight conditions accounted for 10 crashes in July 2025, a decrease from 12 crashes in July 2024. Clear weather was the most common condition in both periods, with 9 crashes each. The current period did not report any crashes on wet road surfaces, whereas the prior period recorded 1 such crash.

Weather

Clear9 (75.0%)
0.0%prior 9
Clear/Clear1 (8.3%)
Clear/Cloudy1 (8.3%)
Clear/Other1 (8.3%)

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2025-07-01 to 2025-07-31 · Weather condition at time of crash

Lighting

Daylight10 (90.9%)
-16.7%prior 12
Dark - roadway not lighted1 (9.1%)

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2025-07-01 to 2025-07-31 · Lighting condition field

Vehicles & Demographics

Top Vehicle Makes (19 vehicles)

1
JEEP3 (15.8%)
2
TOYOTA3 (15.8%)
3
SUBARU2 (10.5%)
4
TESL2 (10.5%)
5
CHEVROLET2 (10.5%)
6
HONDA2 (10.5%)
-60.0%prior 5
7
VOLVO1 (5.3%)
8
FORD1 (5.3%)
-80.0%prior 5
9
FRHT1 (5.3%)
10
HYUNDAI1 (5.3%)

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2025-07-01 to 2025-07-31 · Vehicle unit records

Sex Distribution (21 persons with recorded sex)

Male14 (66.7%)
-17.6%prior 17
Female7 (33.3%)
-41.7%prior 12

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2025-07-01 to 2025-07-31 · Person-level records linked to crash events

Speed Limit Zones

Crashes in 25 mph speed zones remained constant at 6 for both July 2024 and July 2025. However, crashes in 30 mph zones decreased from 4 to 2, and in 35 mph zones from 4 to 3. A crash in a 45 mph zone was reported in July 2025, a category not present in the prior period, and no fatalities were reported in any speed zone for either period.

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2025-07-01 to 2025-07-31 · 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: 2025-07-01 through 2025-07-31
  • Report generated: June 21, 2026

Data Coverage

  • Reporting period: 2025-07-01 through 2025-07-31 (31 days)
  • Geographic scope: AYER, MA
  • Total crash records analyzed: 12
  • Total persons involved: 21
  • Total vehicles involved: 19

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: July 2025." Published June 21, 2026. Reporting period: 2025-07-01 to 2025-07-31. Data source: Massachusetts Crash Data (MassDOT CDV), Arcgis_yearly Open Data. Available at: https://thatcarhitme.com/crash-data/massachusetts/ayer/july-2025-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 — July 2025 | ThatCarHitMe.com