Monthly Traffic Safety Analysis

26 CRASHES IN
PALMER, MA
AUGUST 2025

All metrics benchmarked againstAugust 2024

In August 2025, Palmer experienced 26 crashes, marking a 23.5% decrease from the 34 crashes recorded in August 2024. The most significant year-over-year shift was an 80% reduction in hit-and-run crashes, falling from 5 to 1.

26

-23.5%was 34

Total Crash Events

0

Persons Killed

2

-71.4%was 7

Persons Injured

1

-80.0%was 5

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. 3 crashes with unreported severity are not shown in the severity breakdown.

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2025-08-01 to 2025-08-31 · Aggregate counts from crash, person, and vehicle records

Trend Summary

Overall, the trend indicates a decrease in crash incidents in Palmer, with total crashes falling by 23.5% from 34 in August 2024 to 26 in August 2025. This reduction is also reflected in a 71.4% decrease in total injuries, from 7 to 2.

1

Hit-and-Run Crashes — August 2025

-80.0% vs prior (5)

Hit-and-run crashes saw a substantial decrease, falling from 5 incidents in August 2024 to 1 incident in August 2025. This represents an 80% reduction in the count of hit-and-run crashes, with the hit-and-run rate dropping from 14.7% to 3.8% of all crashes.

Vulnerable Road User Casualties

0

Motorists Killed

Prior: 00.0%

2

Motorists Injured

Prior: 7-71.4%

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2025-08-01 to 2025-08-31 · Mode classified from person records (driver/passenger → motorist; pedestrian; bicyclist → cyclist; in-line skater / unspecified → other)

When Crashes Happen

The temporal patterns show a shift in peak crash activity. In August 2025, the peak day for crashes was Saturday with 6 incidents, whereas in August 2024, Monday was the peak with 10 crashes. The peak hour also shifted from 3 PM with 5 crashes in the prior period to 2 PM with 4 crashes in the current period.

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2025-08-01 to 2025-08-31 · Crash date field aggregated by weekday

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2025-08-01 to 2025-08-31 · Crash time field aggregated by hour (0-23)

Crash Severity Breakdown

Fatalities remained at 0 in both August 2025 and August 2024. Total injuries decreased significantly by 71.4%, from 7 in the prior period to 2 in the current period. Minor injuries saw a reduction from 4 (11.8% of crashes) to 1 (3.8% of crashes), and possible injuries decreased from 3 (8.8% of crashes) to 1 (3.8% of crashes).

Outcome by Severity (Crash Events)

Minor Injury1minor injury crashes3.8%
-75.0%prior 4
Possible Injury1possible injury crashes3.8%
-66.7%prior 3
No Injury21no injury crashes80.8%
-22.2%prior 27

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2025-08-01 to 2025-08-31 · KABCO injury classification scale

Severity Distribution (Crash Events)

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2025-08-01 to 2025-08-31 · Most severe injury per crash record

Top Contributing Factors

Among contributing factors, 'Inattention' decreased by 2 crashes, from 6 in August 2024 to 4 in August 2025. 'Failed to yield right of way' and 'Followed too closely' also saw notable reductions, decreasing by 2 crashes and 3 crashes respectively. Conversely, 'Other improper action' increased by 2 crashes, from 1 to 3, while 'Exceeded authorized speed limit' was present in 3 crashes in the prior period but 0 in the current period.

Officer-Reported Primary Contributing Cause

No improper driving4 (15.4%)-20.0%prior 5
Inattention4 (15.4%)-33.3%prior 6
Made an improper turn3 (11.5%)
Other improper action3 (11.5%)
Failed to yield right of way2 (7.7%)
Failure to keep in proper lane or running off road2 (7.7%)
Followed too closely1 (3.8%)
Fatigued/asleep1 (3.8%)
Operating vehicle in erratic, reckless, careless, negligent or aggressive manner1 (3.8%)
Driving too fast for conditions1 (3.8%)

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2025-08-01 to 2025-08-31 · Officer-reported primary contributory cause per crash

Road & Environmental Conditions

The proportion of crashes occurring in clear weather conditions decreased from 24 in August 2024 to 13 in August 2025, even as total crashes declined. Crashes on wet road surfaces also saw a reduction, falling from 9 in the prior period to 4 in the current period. Daylight remained the dominant lighting condition for crashes in both periods, though the count decreased from 23 to 19.

Weather

Clear13 (52.0%)
-45.8%prior 24
Clear/Cloudy4 (16.0%)
Cloudy3 (12.0%)
Clear/Clear3 (12.0%)
Fog, smog, smoke1 (4.0%)
Rain/Clear1 (4.0%)

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2025-08-01 to 2025-08-31 · Weather condition at time of crash

Lighting

Daylight19 (76.0%)
-17.4%prior 23
Dark - roadway not lighted2 (8.0%)
Dusk2 (8.0%)
Dark - lighted roadway1 (4.0%)
Dawn1 (4.0%)

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2025-08-01 to 2025-08-31 · Lighting condition field

Road Surface

Dry21 (84.0%)
-16.0%prior 25
Wet4 (16.0%)
-55.6%prior 9

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2025-08-01 to 2025-08-31 · Road surface condition field

Vehicles & Demographics

Top Vehicle Makes (45 vehicles)

1
HONDA7 (15.6%)
-12.5%prior 8
2
TOYOTA6 (13.3%)
-33.3%prior 9
3
NISSAN5 (11.1%)
4
FORD5 (11.1%)
-16.7%prior 6
5
GMC3 (6.7%)
6
SUBARU2 (4.4%)
7
HYUNDAI2 (4.4%)
8
KIA2 (4.4%)
9
MAZDA1 (2.2%)
10
STARCRAFT MFG C1 (2.2%)

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2025-08-01 to 2025-08-31 · Vehicle unit records

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

Sex Distribution (52 persons with recorded sex)

Male29 (55.8%)
-27.5%prior 40
Female23 (44.2%)
21.1%prior 19

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2025-08-01 to 2025-08-31 · Person-level records linked to crash events

Speed Limit Zones

Crashes in 65 mph zones significantly decreased from 12 in August 2024 to 4 in August 2025, a 66.7% reduction. Crashes in 30 mph zones also fell from 10 to 7, and 35 mph zones from 6 to 4. There was an increase in crashes in 10 mph zones, from 1 to 2, and new crash occurrences were observed in 25 mph (2 crashes) and 50 mph (1 crash) zones in the current period, which were not present in the prior period.

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2025-08-01 to 2025-08-31 · 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: 2025-08-01 through 2025-08-31
  • Report generated: June 21, 2026

Data Coverage

  • Reporting period: 2025-08-01 through 2025-08-31 (31 days)
  • Geographic scope: PALMER, MA
  • Total crash records analyzed: 26
  • Total persons involved: 56
  • Total vehicles involved: 45

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). "PALMER, MA Crash Intelligence Report: August 2025." Published June 21, 2026. Reporting period: 2025-08-01 to 2025-08-31. Data source: Massachusetts Crash Data (MassDOT CDV), Arcgis_yearly Open Data. Available at: https://thatcarhitme.com/crash-data/massachusetts/palmer/august-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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Palmer, MA Crash Report — August 2025 | ThatCarHitMe.com