Monthly Traffic Safety Analysis

9 CRASHES IN
IPSWICH, MA
AUGUST 2025

All metrics benchmarked againstAugust 2024

In August 2025, Ipswich experienced 9 total crashes, a decrease of 35.71% compared to the 14 crashes recorded in August 2024. Total injuries saw a significant decrease, falling from 6 in August 2024 to 1 in August 2025. Fatalities remained consistent at 1 in both periods.

9

-35.7%was 14

Total Crash Events

1

Persons Killed

1

-83.3%was 6

Persons Injured

1

Hit-and-Run Crashes

Note: "Persons Killed" (1) counts individual fatalities across all crash events. "Fatal" in the severity table below (1) 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 · 2025-08-01 to 2025-08-31 · Aggregate counts from crash, person, and vehicle records

Trend Summary

Overall, crash trends in Ipswich show a decrease year-over-year, with total crashes falling by 35.71% from 14 in August 2024 to 9 in August 2025. While total fatalities remained stable at 1, total injuries decreased substantially from 6 to 1 over the same period. This indicates a general decline in crash frequency and severity, despite the consistent number of fatal incidents.

1

Hit-and-Run Crashes — August 2025

0.0% vs prior (1)

The number of hit-and-run crashes remained stable at 1 in both August 2024 and August 2025. Despite the consistent count, the hit-and-run rate increased from 7.1% of total crashes in August 2024 to 11.1% in August 2025. This increase in rate is attributed to the overall decrease in total crashes.

Vulnerable Road User Casualties

1

Motorists Killed

Prior: 10.0%

1

Motorists Injured

Prior: 6-83.3%

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 of crashes shifted between the two periods. The peak day for crashes moved from Thursday, with 6 incidents in August 2024, to Sunday, with 4 incidents in August 2025. The peak hour also shifted, from 12p in August 2024 to 1p in August 2025, with both hours recording 3 crashes.

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

The number of fatal crashes remained at 1 in both August 2024 and August 2025, but the fatal crash rate increased from 7.1% to 11.1% due to a reduction in total crashes. Total injuries decreased significantly from 6 in August 2024 to 1 in August 2025. Minor injury crashes decreased from 2 to 1, and possible injury crashes (2 in August 2024) were not observed in August 2025.

Outcome by Severity (Crash Events)

Fatal1fatal crashes11.1%
0.0%prior 1
Minor Injury1minor injury crashes11.1%
-50.0%prior 2
No Injury7no injury crashes77.8%
0.0%prior 7

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

The most frequent contributing factor in August 2024 was 'Inattention' with 4 crashes, which was not observed in August 2025. 'No improper driving' remained at 3 crashes in both periods, increasing its share from 21.4% to 33.3% of total crashes. 'Failed to yield right of way' emerged as a factor in August 2025 with 2 crashes, and 'Exceeded authorized speed limit' also appeared with 1 crash, neither of which were among the top factors in August 2024.

Officer-Reported Primary Contributing Cause

No improper driving3 (33.3%)
Failed to yield right of way2 (22.2%)
Distracted1 (11.1%)
Exceeded authorized speed limit1 (11.1%)
Other improper action1 (11.1%)
Swerving or avoiding due to wind, slippery surface, vehicle, object, vulnerable user in roadway1 (11.1%)

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

Crashes occurring in 'Clear' weather conditions decreased from 10 in August 2024 to 7 in August 2025. One crash occurred in 'Rain' conditions in August 2025, a condition not present in August 2024. For lighting conditions, crashes during 'Daylight' decreased from 12 to 8, and incidents in 'Dark - lighted roadway' decreased from 2 to 0. Road surface data for August 2024 was not available for comparison.

Weather

Clear7 (77.8%)
-30.0%prior 10
Clear/Unknown1 (11.1%)
Rain1 (11.1%)

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

Lighting

Daylight8 (88.9%)
-33.3%prior 12
Dark - roadway not lighted1 (11.1%)

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

Road Surface

Dry7 (77.8%)
Wet2 (22.2%)

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 (14 vehicles)

1
TOYOTA3 (21.4%)
-50.0%prior 6
2
FORD2 (14.3%)
3
HD1 (7.1%)
4
HYUNDAI1 (7.1%)
5
NISSAN1 (7.1%)
6
RAM1 (7.1%)
7
SUBARU1 (7.1%)
8
TESL1 (7.1%)
9
DODGE1 (7.1%)
10
FRHT1 (7.1%)

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

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

Sex Distribution (13 persons with recorded sex)

Male10 (76.9%)
0.0%prior 10
Female3 (23.1%)
-84.2%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 the 25 mph speed zone remained constant at 4 incidents in both August 2024 and August 2025. Crashes in the 40 mph zone decreased from 4 to 2, however, the fatal rate within this zone increased from 25% to 50%. Crashes in the 30 mph zone decreased from 2 to 1, and crashes in lower speed zones (5 mph, 15 mph, 35 mph) present in August 2024 were not observed in August 2025.

Fatal crashes by zone: 40 mph: 1 of 2 (50%)

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: IPSWICH, MA
  • Total crash records analyzed: 9
  • Total persons involved: 15
  • Total vehicles involved: 14

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). "IPSWICH, 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/ipswich/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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Ipswich, MA Crash Report — August 2025 | ThatCarHitMe.com