Monthly Traffic Safety Analysis

15 CRASHES IN
IPSWICH, MA
JULY 2025

All metrics benchmarked againstJuly 2024

In July 2025, Ipswich recorded 15 crashes, an increase of 36.4% compared to 11 crashes in July 2024. Despite the rise in total crashes, the number of injured persons decreased substantially by 87.5%, from 8 in July 2024 to 1 in July 2025. Fatalities remained at zero in both periods.

15

36.4%was 11

Total Crash Events

0

Persons Killed

1

-87.5%was 8

Persons Injured

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. 1 crash with unreported severity is not shown in the severity breakdown.

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, total crashes in Ipswich increased by 36.4%, from 11 in July 2024 to 15 in July 2025. This rise in crash incidents was accompanied by a significant 87.5% reduction in total injuries, decreasing from 8 to 1. Fatalities remained consistent at zero for both reporting periods.

1

Hit-and-Run Crashes — July 2025

6.7% hit-and-run rate this period vs 0.0% prior. Prior period: 0.

Vulnerable Road User Casualties

0

Motorists Killed

Prior: 00.0%

1

Motorists Injured

Prior: 7-85.7%

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 Wednesday, which had 4 crashes in July 2024, to Tuesday, which recorded 6 crashes in July 2025. While the peak hour remained 12 PM in both periods, the number of crashes at this hour doubled from 2 in July 2024 to 4 in July 2025. Overall, the total number of crashes increased from 11 to 15 year-over-year.

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

There were no fatal crashes reported in Ipswich during either July 2024 or July 2025. The total number of injured persons saw a substantial decrease of 87.5%, falling from 8 in July 2024 to 1 in July 2025. In July 2024, there were 5 crashes resulting in injury (1 serious, 4 minor), compared to only 1 crash resulting in a minor injury in July 2025.

Outcome by Severity (Crash Events)

Minor Injury1minor injury crashes6.7%
-75.0%prior 4
No Injury13no injury crashes86.7%
116.7%prior 6

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 leading contributing factor in July 2025 was 'No improper driving' with 6 crashes, marking a 200% increase from 2 crashes in July 2024. Conversely, crashes attributed to 'Inattention' decreased by 50%, from 4 in July 2024 to 2 in July 2025. Factors such as 'Fatigued/asleep' and 'Driving too fast for conditions,' each with 1 crash in July 2024, were not observed in July 2025, while new factors like 'Physical impairment' and 'Visibility obstructed' each contributed 1 crash in July 2025.

Officer-Reported Primary Contributing Cause

No improper driving6 (40%)
Inattention2 (13.3%)
Other improper action1 (6.7%)
Over-correcting/over-steering1 (6.7%)
Physical impairment1 (6.7%)
Visibility obstructed1 (6.7%)
Failed to yield right of way1 (6.7%)
Failure to keep in proper lane or running off road1 (6.7%)

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

Road & Environmental Conditions

Crashes occurring in 'Clear' weather conditions increased from 9 in July 2024 to 12 in July 2025. The number of crashes during 'Daylight' also rose from 10 to 13 year-over-year. In July 2025, 1 crash occurred at 'Dawn' and 1 in 'Dark - roadway not lighted' conditions, whereas July 2024 reported 1 crash in 'Dark - lighted roadway' conditions.

Weather

Clear12 (80.0%)
33.3%prior 9
Clear/Unknown2 (13.3%)
Cloudy/Unknown1 (6.7%)

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2025-07-01 to 2025-07-31 · Weather condition at time of crash

Lighting

Daylight13 (86.7%)
30.0%prior 10
Dark - roadway not lighted1 (6.7%)
Dawn1 (6.7%)

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2025-07-01 to 2025-07-31 · Lighting condition field

Vehicles & Demographics

Top Vehicle Makes (28 vehicles)

1
TOYOTA4 (14.3%)
2
FORD3 (10.7%)
3
HONDA3 (10.7%)
4
HYUNDAI3 (10.7%)
5
DODGE2 (7.1%)
6
VOLKSWAGEN2 (7.1%)
7
REMQ2 (7.1%)
8
LEXUS1 (3.6%)
9
JEEP1 (3.6%)
10
KAWK1 (3.6%)

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

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

Sex Distribution (22 persons with recorded sex)

Male13 (59.1%)
18.2%prior 11
Female9 (40.9%)
-10.0%prior 10

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 in 25 MPH speed zones saw a substantial increase of 250%, rising from 2 in July 2024 to 7 in July 2025. Crashes in 35 MPH zones also increased by 50%, from 2 to 3 crashes year-over-year. Conversely, speed zones of 40 MPH and 50 MPH, which each recorded 1 crash in July 2024, had no reported crashes in July 2025. No fatal crashes were recorded 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: IPSWICH, MA
  • Total crash records analyzed: 15
  • Total persons involved: 31
  • Total vehicles involved: 28

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: 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/ipswich/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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Ipswich, MA Crash Report — July 2025 | ThatCarHitMe.com