Monthly Traffic Safety Analysis

6 CRASHES IN
HARWICH, MA
JULY 2025

All metrics benchmarked againstJuly 2024

In July 2025, Harwich experienced 6 crashes, a significant decrease from the 41 crashes recorded in July 2024. This represents an 85.37% reduction year-over-year. The most notable shift was the substantial decline in overall crash volume and the emergence of 'Followed too closely' as the dominant contributing factor in the current period.

6

-85.4%was 41

Total Crash Events

0

Persons Killed

2

-83.3%was 12

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, crashes in Harwich saw a substantial decline year-over-year, decreasing by 85.37% from 41 crashes in July 2024 to 6 crashes in July 2025. This indicates a strong downward trend in crash incidents for the specified month.

Vulnerable Road User Casualties

0

Motorists Killed

Prior: 00.0%

2

Motorists Injured

Prior: 11-81.8%

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 with 9 crashes in July 2024 to Wednesday with 2 crashes in July 2025. Similarly, the peak hour moved from 4 p.m. with 6 crashes in the prior period to 3 p.m. with 3 crashes in the current period, indicating a change in temporal patterns.

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

Neither period recorded any fatal crashes. Total injuries decreased significantly from 12 in July 2024 to 2 in July 2025. Minor injury crashes accounted for 33.3% of all crashes in July 2025 (2 out of 6), a higher proportion than the 17.1% (7 out of 41) observed in July 2024.

Outcome by Severity (Crash Events)

Minor Injury2minor injury crashes33.3%
-71.4%prior 7
No Injury4no injury crashes66.7%
-87.1%prior 31

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

The number of crashes attributed to 'Followed too closely' decreased from 6 in July 2024 to 4 in July 2025, a 33.3% reduction in count, yet it became the dominant factor, representing 66.7% of crashes in the current period compared to 14.6% previously. Crashes due to 'Inattention' and 'No improper driving' both decreased from 6 to 1, an 83.3% reduction in count for each. 'Failed to yield right of way', which was the most frequent factor in the prior period with 12 crashes, was not a top contributing factor in July 2025.

Officer-Reported Primary Contributing Cause

Followed too closely4 (66.7%)-33.3%prior 6
Inattention1 (16.7%)-83.3%prior 6
No improper driving1 (16.7%)-83.3%prior 6

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

Vehicles & Demographics

Top Vehicle Makes (12 vehicles)

1
TOYOTA2 (16.7%)
-84.6%prior 13
2
HONDA2 (16.7%)
-75.0%prior 8
3
FORD1 (8.3%)
-91.7%prior 12
4
FRHT1 (8.3%)
5
JEEP1 (8.3%)
-85.7%prior 7
6
NISSAN1 (8.3%)
7
RAM1 (8.3%)
8
BMW1 (8.3%)
9
VOLVO1 (8.3%)
10
BUIC1 (8.3%)

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

Sex Distribution (13 persons with recorded sex)

Male7 (53.8%)
-86.5%prior 52
Female6 (46.2%)
-87.8%prior 49

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 at 50 mph decreased from 8 in July 2024 to 4 in July 2025, a 50% reduction in count, while crashes at 55 mph increased from 1 to 2, a 100% increase in count. All crashes in July 2025 occurred in 50 mph or 55 mph zones, a shift from July 2024 which saw crashes across a broader range of speed limits from 10 mph to 55 mph. No fatal crashes were reported in any speed zone during 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: HARWICH, MA
  • Total crash records analyzed: 6
  • Total persons involved: 13
  • Total vehicles involved: 12

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). "HARWICH, 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/harwich/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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Harwich, MA Crash Report — July 2025 | ThatCarHitMe.com