Monthly Traffic Safety Analysis

25 CRASHES IN
PALMER, MA
JULY 2024

All metrics benchmarked againstJuly 2023

In July 2024, Palmer experienced 25 crashes, a decrease from 33 crashes in July 2023. This represents a 24.24% reduction in total crashes year-over-year. A notable positive shift is the absence of any fatalities in July 2024, compared to one fatality in July 2023.

25

-24.2%was 33

Total Crash Events

0

-100.0%was 1

Persons Killed

11

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.

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2024-07-01 to 2024-07-31 · Aggregate counts from crash, person, and vehicle records

Trend Summary

Overall, crashes in Palmer showed a downward trend year-over-year, decreasing by 8 crashes from 33 in July 2023 to 25 in July 2024. This constitutes a 24.24% reduction in total crash incidents.

1

Hit-and-Run Crashes — July 2024

-80.0% vs prior (5)

Hit-and-run crashes significantly decreased from 5 in July 2023 to 1 in July 2024. This resulted in the hit-and-run rate falling from 15.2% of total crashes to 4% of total crashes year-over-year.

Vulnerable Road User Casualties

0

Motorists Killed

Prior: 1-100.0%

11

Motorists Injured

Prior: 110.0%

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2024-07-01 to 2024-07-31 · 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 Thursday in July 2023 with 8 crashes to Tuesday in July 2024, also with 8 crashes. The peak hour for crashes changed from 2 p.m. with 4 crashes in July 2023 to 1 p.m. with 3 crashes in July 2024. Monday, Thursday, and Friday saw decreases in crash counts, while Tuesday saw an increase.

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2024-07-01 to 2024-07-31 · Crash date field aggregated by weekday

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2024-07-01 to 2024-07-31 · Crash time field aggregated by hour (0-23)

Crash Severity Breakdown

Fatalities decreased from 1 in July 2023 to 0 in July 2024, resulting in a fatal crash rate reduction from 3.03% to 0%. The total number of injuries remained constant at 11 in both periods. Serious injuries decreased from 2 to 1, and minor injuries decreased from 7 to 6, while possible injuries remained stable at 1.

Outcome by Severity (Crash Events)

Serious Injury1serious injury crashes4%
-50.0%prior 2
Minor Injury6minor injury crashes24%
-14.3%prior 7
Possible Injury1possible injury crashes4%
0.0%prior 1
No Injury17no injury crashes68%
-22.7%prior 22

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2024-07-01 to 2024-07-31 · KABCO injury classification scale

Severity Distribution (Crash Events)

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2024-07-01 to 2024-07-31 · Most severe injury per crash record

Top Contributing Factors

The number of crashes attributed to 'No improper driving' decreased by 6, from 12 in July 2023 to 6 in July 2024, a 50% reduction in count. In contrast, crashes due to 'Operating vehicle in erratic, reckless, careless, negligent or aggressive manner' doubled from 2 to 4, a 100% increase in count, and 'Disregarded traffic signs, signals, road markings' tripled from 1 to 3, a 200% increase in count. Factors like 'Inattention', 'Visibility obstructed', 'Failed to yield right of way', and 'Distracted' each decreased by 1 or 2 crashes. New contributing factors in July 2024 included 'Wrong side or wrong way' and 'Followed too closely', each involved in 2 crashes.

Officer-Reported Primary Contributing Cause

No improper driving6 (24%)-50.0%prior 12
Operating vehicle in erratic, reckless, careless, negligent or aggressive manner4 (16%)
Disregarded traffic signs, signals, road markings3 (12%)
Inattention2 (8%)
Wrong side or wrong way2 (8%)
Failure to keep in proper lane or running off road2 (8%)
Followed too closely2 (8%)
Failed to yield right of way1 (4%)
Driving too fast for conditions1 (4%)
Visibility obstructed1 (4%)

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2024-07-01 to 2024-07-31 · Officer-reported primary contributory cause per crash

Road & Environmental Conditions

Crashes occurring in clear weather conditions slightly increased from 20 in July 2023 to 21 in July 2024. Crashes in rainy conditions significantly decreased from 5 to 1. The number of crashes occurring in daylight decreased from 26 to 20, while crashes in 'Dark - lighted roadway' and 'Dark - roadway not lighted' also saw decreases.

Weather

Clear21 (84.0%)
5.0%prior 20
Cloudy3 (12.0%)
Rain1 (4.0%)
-80.0%prior 5

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2024-07-01 to 2024-07-31 · Weather condition at time of crash

Lighting

Daylight20 (80.0%)
-23.1%prior 26
Dark - roadway not lighted2 (8.0%)
Dark - lighted roadway1 (4.0%)
Dawn1 (4.0%)
Dusk1 (4.0%)

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2024-07-01 to 2024-07-31 · Lighting condition field

Road Surface

Dry22 (88.0%)
-8.3%prior 24
Wet3 (12.0%)
-62.5%prior 8

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2024-07-01 to 2024-07-31 · Road surface condition field

Vehicles & Demographics

Top Vehicle Makes (42 vehicles)

1
FORD8 (19%)
60.0%prior 5
2
HONDA7 (16.7%)
3
CHEVROLET5 (11.9%)
0.0%prior 5
4
TOYOTA3 (7.1%)
5
SUBARU2 (4.8%)
-66.7%prior 6
6
NISSAN2 (4.8%)
7
HD2 (4.8%)
8
JEEP1 (2.4%)
9
KIA1 (2.4%)
10
MACK1 (2.4%)

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2024-07-01 to 2024-07-31 · Vehicle unit records

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

Sex Distribution (43 persons with recorded sex)

Male31 (72.1%)
-27.9%prior 43
Female12 (27.9%)
-45.5%prior 22

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2024-07-01 to 2024-07-31 · Person-level records linked to crash events

Speed Limit Zones

Crashes in 40 mph speed zones decreased from 6 in July 2023 to 1 in July 2024, and the single fatal crash in July 2023 occurred in a 40 mph zone, with no fatalities in any speed zone in July 2024. Crashes in 65 mph zones also decreased from 7 to 4. Conversely, crashes in 30 mph zones increased from 8 to 12.

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2024-07-01 to 2024-07-31 · 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: 2024-07-01 through 2024-07-31
  • Report generated: June 21, 2026

Data Coverage

  • Reporting period: 2024-07-01 through 2024-07-31 (31 days)
  • Geographic scope: PALMER, MA
  • Total crash records analyzed: 25
  • Total persons involved: 48
  • Total vehicles involved: 42

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: July 2024." Published June 21, 2026. Reporting period: 2024-07-01 to 2024-07-31. Data source: Massachusetts Crash Data (MassDOT CDV), Arcgis_yearly Open Data. Available at: https://thatcarhitme.com/crash-data/massachusetts/palmer/july-2024-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 — July 2024 | ThatCarHitMe.com