Monthly Traffic Safety Analysis

59 CRASHES IN
LOWELL, MA
JULY 2025

All metrics benchmarked againstJuly 2024

Total crashes in Lowell decreased significantly from 202 in July 2024 to 59 in July 2025, representing a 70.8% reduction. The most notable year-over-year shift is this substantial decrease in overall crash incidents. Fatalities remained at zero in both periods.

59

-70.8%was 202

Total Crash Events

0

Persons Killed

34

-60.9%was 87

Persons Injured

9

-64.0%was 25

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

The overall trend for Lowell shows a significant decrease in crashes year-over-year. Total crashes fell from 202 in July 2024 to 59 in July 2025, a reduction of 70.8%. This indicates a positive trend in traffic safety for the period.

9

Hit-and-Run Crashes — July 2025

-64.0% vs prior (25)

The number of hit-and-run crashes decreased from 25 in July 2024 to 9 in July 2025. However, the hit-and-run rate increased from 12.4% of total crashes in July 2024 to 15.3% in July 2025, despite the lower overall count.

Vulnerable Road User Casualties

0

Pedestrians Killed

Prior: 00.0%

0

Motorists Killed

Prior: 00.0%

0

Other Killed

Prior: 00.0%

1

Pedestrians Injured

Prior: 5-80.0%

32

Motorists Injured

Prior: 81-60.5%

1

Other Injured

Prior: 0%

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

Both periods shared Monday as the peak day for crashes, though the count decreased from 33 in July 2024 to 13 in July 2025. The peak hour for crashes shifted from 3 PM with 20 incidents in July 2024 to 4 PM with 8 incidents in July 2025, indicating a change in the timing of peak crash activity.

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

Fatal crashes remained at zero in both July 2024 and July 2025. While serious injuries remained at 1 in both periods, their share of total crashes increased from 0.5% in July 2024 to 1.7% in July 2025. Minor injuries decreased from 29 to 14, and possible injuries decreased from 22 to 8.

Outcome by Severity (Crash Events)

Serious Injury1serious injury crashes1.7%
0.0%prior 1
Minor Injury14minor injury crashes23.7%
-51.7%prior 29
Possible Injury8possible injury crashes13.6%
-63.6%prior 22
No Injury35no injury crashes59.3%
-75.5%prior 143

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 count of crashes attributed to "No improper driving" decreased from 56 in July 2024 to 21 in July 2025, a 62.5% reduction. "Inattention" saw a significant drop from 22 incidents to 3, an 86.4% decrease in count. "Failed to yield right of way" and "Followed too closely" both decreased by 50% in count, from 12 incidents each in July 2024 to 6 each in July 2025.

Officer-Reported Primary Contributing Cause

No improper driving21 (35.6%)-62.5%prior 56
Failed to yield right of way6 (10.2%)-50.0%prior 12
Followed too closely6 (10.2%)-50.0%prior 12
Distracted4 (6.8%)-33.3%prior 6
Failure to keep in proper lane or running off road3 (5.1%)
Inattention3 (5.1%)-86.4%prior 22
Other improper action2 (3.4%)
Exceeded authorized speed limit1 (1.7%)
Driving too fast for conditions1 (1.7%)
Made an improper turn1 (1.7%)

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 decreased from 180 in July 2024 to 42 in July 2025. Similarly, crashes on dry road surfaces decreased from 187 to 54, and crashes during daylight hours decreased from 146 to 46. The proportions of crashes under these dominant conditions remained high in both periods.

Weather

Clear42 (71.2%)
-76.7%prior 180
Clear/Clear8 (13.6%)
Cloudy4 (6.8%)
-55.6%prior 9
Rain4 (6.8%)
-63.6%prior 11
Cloudy/Rain1 (1.7%)

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

Lighting

Daylight46 (78.0%)
-68.5%prior 146
Dark - lighted roadway12 (20.3%)
-74.5%prior 47
Dusk1 (1.7%)
-80.0%prior 5

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

Road Surface

Dry54 (91.5%)
-71.1%prior 187
Wet5 (8.5%)
-66.7%prior 15

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

Vehicles & Demographics

The total number of vehicles involved in crashes decreased from 403 in July 2024 to 117 in July 2025. The top vehicle makes involved, Honda and Toyota, also saw significant reductions in counts, with Honda decreasing from 74 to 24 and Toyota from 69 to 20. All age groups also saw a decrease in persons involved in crashes year-over-year.

Top Vehicle Makes (117 vehicles)

1
HONDA24 (20.5%)
-67.6%prior 74
2
TOYOTA20 (17.1%)
-71.0%prior 69
3
FORD9 (7.7%)
-79.5%prior 44
4
CHEVROLET9 (7.7%)
-67.9%prior 28
5
SUBARU8 (6.8%)
-27.3%prior 11
6
NISSAN8 (6.8%)
-68.0%prior 25
7
ACURA7 (6%)
-12.5%prior 8
8
HYUNDAI5 (4.3%)
-58.3%prior 12
9
JEEP3 (2.6%)
-84.2%prior 19
10
LEXUS3 (2.6%)
-40.0%prior 5

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

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

Sex Distribution (144 persons with recorded sex)

Male84 (58.3%)
-66.7%prior 252
Female60 (41.7%)
-70.3%prior 202

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 decreased from 149 in July 2024 to 39 in July 2025. This speed zone accounted for 73.8% of crashes in July 2024 and 66.1% in July 2025. There were no fatal crashes reported in any speed zone in 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: LOWELL, MA
  • Total crash records analyzed: 59
  • Total persons involved: 153
  • Total vehicles involved: 117

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). "LOWELL, 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/lowell/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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Lowell, MA Crash Report — July 2025 | ThatCarHitMe.com