Monthly Traffic Safety Analysis

99 CRASHES IN
PEABODY, MA
JULY 2024

All metrics benchmarked againstJuly 2023

In July 2024, Peabody recorded 99 crashes, a 10% decrease from the 110 crashes reported in July 2023. A notable year-over-year shift is the 500% increase in DUI-related crashes, rising from 1 in the prior period to 6 in the current period.

99

-10.0%was 110

Total Crash Events

0

Persons Killed

35

12.9%was 31

Persons Injured

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. 4 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

Overall, the number of crashes in Peabody decreased by 10% year-over-year, from 110 crashes in July 2023 to 99 crashes in July 2024. Despite this reduction in total crashes, the number of injuries increased by 12.9%, from 31 to 35.

5

Hit-and-Run Crashes — July 2024

0.0% vs prior (5)

The number of hit-and-run crashes remained constant at 5 in both July 2023 and July 2024. However, the hit-and-run crash rate increased from 4.5% in the prior period to 5.1% in the current period, indicating a slight upward trend in the proportion of such incidents.

Vulnerable Road User Casualties

0

Pedestrians Killed

Prior: 00.0%

0

Motorists Killed

Prior: 00.0%

1

Pedestrians Injured

Prior: 0%

34

Motorists Injured

Prior: 3013.3%

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 remained Monday in both periods, with 25 crashes in July 2023 and 26 crashes in July 2024. However, the peak crash hour shifted from 5 p.m. with 9 crashes in July 2023 to 4 p.m. with 12 crashes in July 2024.

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

There were no fatalities reported in either July 2023 or July 2024. Serious injury crashes decreased from 3 (2.7% share) in the prior period to 1 (1% share) in the current period. Conversely, minor injury crashes increased from 12 (10.9% share) to 14 (14.1% share) year-over-year.

Outcome by Severity (Crash Events)

Serious Injury1serious injury crashes1%
-66.7%prior 3
Minor Injury14minor injury crashes14.1%
16.7%prior 12
Possible Injury6possible injury crashes6.1%
-33.3%prior 9
No Injury74no injury crashes74.7%
-6.3%prior 79

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 21.2%, from 33 to 26, while 'Inattention' crashes decreased by 24%, from 25 to 19. Conversely, crashes involving 'Failed to yield right of way' increased by 125% (from 4 to 9), and crashes involving 'Operating vehicle in erratic, reckless, careless, negligent or aggressive manner' saw a 700% increase, rising from 1 to 8.

Officer-Reported Primary Contributing Cause

No improper driving26 (26.3%)-21.2%prior 33
Inattention19 (19.2%)-24.0%prior 25
Failed to yield right of way9 (9.1%)
Operating vehicle in erratic, reckless, careless, negligent or aggressive manner8 (8.1%)
Followed too closely7 (7.1%)-30.0%prior 10
Disregarded traffic signs, signals, road markings4 (4%)
Other improper action4 (4%)-20.0%prior 5
Failure to keep in proper lane or running off road3 (3%)
Distracted2 (2%)
Visibility obstructed2 (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

Crashes occurring in clear weather conditions decreased from 77 to 66 year-over-year. Crashes on wet road surfaces also decreased, from 17 in July 2023 to 12 in July 2024. A notable shift was observed in lighting conditions, with crashes in 'Dark - lighted roadway' decreasing from 18 to 6.

Weather

Clear66 (67.3%)
-14.3%prior 77
Cloudy11 (11.2%)
-8.3%prior 12
Clear/Cloudy10 (10.2%)
Cloudy/Rain5 (5.1%)
Rain3 (3.1%)
-76.9%prior 13
Clear/Rain2 (2.0%)
Clear/Other1 (1.0%)

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

Lighting

Daylight85 (86.7%)
-1.2%prior 86
Dark - lighted roadway6 (6.1%)
-66.7%prior 18
Dark - roadway not lighted4 (4.1%)
Dusk3 (3.1%)

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

Road Surface

Dry86 (87.8%)
-7.5%prior 93
Wet12 (12.2%)
-29.4%prior 17

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

Vehicles & Demographics

The total number of vehicles involved in crashes decreased slightly from 210 to 206 year-over-year. The 0-15 age group saw a significant increase in persons involved, from 2 to 13, while the 16-20 age group decreased from 28 to 18. Toyota vehicles involved in crashes decreased from 44 to 34, while Ford vehicles increased from 20 to 24.

Top Vehicle Makes (206 vehicles)

1
TOYOTA34 (16.5%)
-22.7%prior 44
2
HONDA25 (12.1%)
-3.8%prior 26
3
FORD24 (11.7%)
20.0%prior 20
4
JEEP16 (7.8%)
77.8%prior 9
5
NISSAN12 (5.8%)
-20.0%prior 15
6
CHEVROLET12 (5.8%)
9.1%prior 11
7
SUBARU8 (3.9%)
-11.1%prior 9
8
VOLKSWAGEN8 (3.9%)
9
MERCEDES-BENZ6 (2.9%)
10
ACURA5 (2.4%)

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

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

Sex Distribution (229 persons with recorded sex)

Male139 (60.7%)
16.8%prior 119
Female90 (39.3%)
12.5%prior 80

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 occurring in 25 mph zones decreased from 31 to 29, while those in 30 mph zones slightly increased from 22 to 23. Crashes in 50 mph zones decreased from 15 to 12, and 55 mph zones saw a minor increase from 10 to 11 crashes. No fatalities were recorded 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: PEABODY, MA
  • Total crash records analyzed: 99
  • Total persons involved: 252
  • Total vehicles involved: 206

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). "PEABODY, 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/peabody/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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Peabody, MA Crash Report — July 2024 | ThatCarHitMe.com