Monthly Traffic Safety Analysis

24 CRASHES IN
SALISBURY, MA
JULY 2024

All metrics benchmarked againstJuly 2023

In Salisbury, July 2024 saw a decrease in total crashes and injuries compared to July 2023. Total crashes fell by 11.1%, from 27 to 24, while total injuries experienced a significant decrease of 57.1%, from 7 to 3. The most notable shift was the reduction in minor injury crashes, which were present in July 2023 but absent in July 2024.

24

▼ -11.1%was 27

Total Crash Events

0

Persons Killed

3

▼ -57.1%was 7

Persons Injured

0

▼ -100.0%was 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. 2 crashes with unreported severity are not shown in the severity breakdown.

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

The overall trend indicates a decrease in crash activity in Salisbury, with total crashes falling from 27 in July 2023 to 24 in July 2024, representing an 11.1% reduction.

Vulnerable Road User Casualties

0

Motorists Killed

Prior: 0→0.0%

3

Motorists Injured

Prior: 6↓-50.0%

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 Friday in July 2023, with 6 crashes, to Sunday in July 2024, also with 6 crashes. The peak hour for crashes also changed significantly, moving from 8 PM in July 2023 (4 crashes) to 10 AM in July 2024 (4 crashes).

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

Fatal crashes remained at 0 in both July 2023 and July 2024. Total injuries decreased from 7 in July 2023 to 3 in July 2024. The proportion of 'No Injury' crashes increased from 74.1% (20 crashes) in July 2023 to 83.3% (20 crashes) in July 2024, while 'Minor Injury' crashes (4 crashes, 14.8%) present in July 2023 were not recorded in July 2024. 'Possible Injury' crashes decreased from 3 (11.1%) to 2 (8.3%).

Outcome by Severity (Crash Events)

Possible Injury2possible injury crashes8.3%
↓-33.3%prior 3
No Injury20no injury crashes83.3%
→0.0%prior 20

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 top contributing factor, 'No improper driving,' increased by 1 crash, from 6 in July 2023 to 7 in July 2024. 'Inattention' and 'Followed too closely' maintained the same count of 4 and 2 crashes, respectively, across both periods. 'Failed to yield right of way' crashes increased from 2 to 3, while 'Made an improper turn' and 'Distracted' crashes each decreased by 1, from 2 to 1.

Officer-Reported Primary Contributing Cause

No improper driving7 (29.2%)↑16.7%prior 6
Inattention4 (16.7%)
Failed to yield right of way3 (12.5%)
Followed too closely2 (8.3%)
Fatigued/asleep1 (4.2%)
Made an improper turn1 (4.2%)
Failure to keep in proper lane or running off road1 (4.2%)
Operating vehicle in erratic, reckless, careless, negligent or aggressive manner1 (4.2%)
Other improper action1 (4.2%)
Distracted1 (4.2%)

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

'Clear' weather conditions accounted for 20 crashes in July 2024, up from 17 in July 2023, while 'Clear/Other' conditions decreased from 5 to 1 crash. 'Rain' conditions, present in 2 crashes in July 2023, were not reported in July 2024. Crashes occurring in 'Daylight' conditions slightly increased from 19 to 20. Crashes on 'Wet' road surfaces decreased from 4 in July 2023 to 1 in July 2024, while 'Dry' road surface crashes remained stable at 23.

Weather

Clear20 (83.3%)
↑17.6%prior 17
Cloudy3 (12.5%)
Clear/Other1 (4.2%)
↓-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 (83.3%)
↑5.3%prior 19
Dark - lighted roadway3 (12.5%)
↓-40.0%prior 5
Dusk1 (4.2%)

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

Road Surface

Dry23 (95.8%)
→0.0%prior 23
Wet1 (4.2%)

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 (46 vehicles)

1
CHEVROLET6 (13%)
↑20.0%prior 5
2
TOYOTA5 (10.9%)
↓-28.6%prior 7
3
HONDA5 (10.9%)
→0.0%prior 5
4
NISSAN4 (8.7%)
↓-33.3%prior 6
5
FORD4 (8.7%)
↓-63.6%prior 11
6
GMC3 (6.5%)
7
ACURA2 (4.3%)
8
KIA2 (4.3%)
9
SUBARU2 (4.3%)
10
JEEP2 (4.3%)

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

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

Sex Distribution (60 persons with recorded sex)

Male31 (51.7%)
↓-13.9%prior 36
Female29 (48.3%)
↑38.1%prior 21

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

The number of crashes in 30 mph, 35 mph, 25 mph, and 65 mph zones remained unchanged, with 9, 3, 1, and 2 crashes respectively. Crashes in 40 mph zones decreased from 7 in July 2023 to 4 in July 2024. The 45 mph zone, which had 4 crashes in July 2023, had no crashes in July 2024, while 15 mph and 20 mph zones, which had no crashes in July 2023, recorded 1 and 2 crashes respectively in July 2024. No fatal crashes were reported in any speed zone during either period.

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: SALISBURY, MA
  • Total crash records analyzed: 24
  • Total persons involved: 66
  • Total vehicles involved: 46

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). "SALISBURY, 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/salisbury/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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Salisbury, MA Crash Report — July 2024 | ThatCarHitMe.com