Monthly Traffic Safety Analysis

137 CRASHES IN
LOWELL, MA
JUNE 2025

All metrics benchmarked againstJune 2024

In June 2025, Lowell experienced a significant decrease in total crashes compared to June 2024, with crashes falling from 228 to 137, representing a 39.91% reduction. This notable year-over-year shift also included an 80% decrease in serious injury crashes, which fell from 5 to 1.

137

▼ -39.9%was 228

Total Crash Events

0

Persons Killed

54

▼ -18.2%was 66

Persons Injured

23

▼ -23.3%was 30

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. 7 crashes with unreported severity are not shown in the severity breakdown.

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2025-06-01 to 2025-06-30 · Aggregate counts from crash, person, and vehicle records

Trend Summary

The overall trend indicates a substantial decline in crash incidents, with total crashes decreasing by 39.91% from 228 in June 2024 to 137 in June 2025. Total injuries also saw a reduction, falling by 18.18% from 66 to 54 during the same period, while fatalities remained at 0 in both months.

23

Hit-and-Run Crashes — June 2025

▼ -23.3% vs prior (30)

Hit-and-run crashes decreased in count from 30 in June 2024 to 23 in June 2025. However, the hit-and-run rate increased from 13.2% of total crashes in June 2024 to 16.8% in June 2025.

Vulnerable Road User Casualties

0

Cyclists Killed

Prior: 0→0.0%

0

Motorists Killed

Prior: 0→0.0%

0

Other Killed

Prior: 0→0.0%

8

Cyclists Injured

Prior: 6↑33.3%

42

Motorists Injured

Prior: 54↓-22.2%

4

Other Injured

Prior: 0→%

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2025-06-01 to 2025-06-30 · 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 Friday with 38 crashes in June 2024 to Thursday with 29 crashes in June 2025. Similarly, the peak hour for crashes moved from 3 p.m. with 22 crashes in June 2024 to 4 p.m. with 13 crashes in June 2025.

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2025-06-01 to 2025-06-30 · Crash date field aggregated by weekday

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2025-06-01 to 2025-06-30 · Crash time field aggregated by hour (0-23)

Crash Severity Breakdown

Fatal crash rates remained at 0% in both periods. Serious injury crashes decreased from 5 (2.2% of total crashes) in June 2024 to 1 (0.7% of total crashes) in June 2025. While minor injury crashes increased in proportion from 8.8% to 20.4%, possible injury crashes decreased from 11.4% to 9.5% of total crashes.

Outcome by Severity (Crash Events)

Serious Injury1serious injury crashes0.7%
↓-80.0%prior 5
Minor Injury28minor injury crashes20.4%
↑40.0%prior 20
Possible Injury13possible injury crashes9.5%
↓-50.0%prior 26
No Injury88no injury crashes64.2%
↓-47.9%prior 169

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2025-06-01 to 2025-06-30 · KABCO injury classification scale

Severity Distribution (Crash Events)

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2025-06-01 to 2025-06-30 · Most severe injury per crash record

Top Contributing Factors

The top contributing factor, 'No improper driving', decreased in count from 76 crashes in June 2024 to 52 crashes in June 2025, while its share of crashes increased from 33.3% to 38%. 'Inattention' crashes decreased from 15 to 10, a 33.33% reduction in count, and 'Followed too closely' crashes decreased from 12 to 8, also a 33.33% reduction in count.

Officer-Reported Primary Contributing Cause

No improper driving52 (38%)↓-31.6%prior 76
Inattention10 (7.3%)↓-33.3%prior 15
Failed to yield right of way10 (7.3%)↓-9.1%prior 11
Followed too closely8 (5.8%)↓-33.3%prior 12
Other improper action6 (4.4%)→0.0%prior 6
Disregarded traffic signs, signals, road markings5 (3.6%)→0.0%prior 5
Operating vehicle in erratic, reckless, careless, negligent or aggressive manner4 (2.9%)
Distracted4 (2.9%)↓-33.3%prior 6
Visibility obstructed2 (1.5%)
Made an improper turn1 (0.7%)↓-80.0%prior 5

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2025-06-01 to 2025-06-30 · Officer-reported primary contributory cause per crash

Road & Environmental Conditions

Crashes occurring in 'Clear' weather conditions decreased from 189 in June 2024 to 99 in June 2025. Crashes on 'Wet' road surfaces decreased from 23 to 19. Crashes during 'Daylight' conditions decreased from 167 to 116, and crashes in 'Dark - lighted roadway' conditions decreased from 46 to 16.

Weather

Clear99 (72.8%)
↓-47.6%prior 189
Cloudy17 (12.5%)
↓-5.6%prior 18
Rain13 (9.6%)
→0.0%prior 13
Clear/Clear5 (3.7%)
Cloudy/Rain1 (0.7%)
Rain/Cloudy1 (0.7%)

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2025-06-01 to 2025-06-30 · Weather condition at time of crash

Lighting

Daylight116 (84.7%)
↓-30.5%prior 167
Dark - lighted roadway16 (11.7%)
↓-65.2%prior 46
Dusk3 (2.2%)
Dawn1 (0.7%)
Other1 (0.7%)

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2025-06-01 to 2025-06-30 · Lighting condition field

Road Surface

Dry116 (85.9%)
↓-42.3%prior 201
Wet19 (14.1%)
↓-17.4%prior 23

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2025-06-01 to 2025-06-30 · Road surface condition field

Vehicles & Demographics

The top three vehicle makes involved in crashes remained Honda, Toyota, and Ford in both periods. Honda-involved crashes decreased from 81 to 59, Toyota-involved crashes decreased from 76 to 44, and Ford-involved crashes decreased from 45 to 29.

Top Vehicle Makes (255 vehicles)

1
HONDA59 (23.1%)
↓-27.2%prior 81
2
TOYOTA44 (17.3%)
↓-42.1%prior 76
3
FORD29 (11.4%)
↓-35.6%prior 45
4
CHEVROLET11 (4.3%)
↓-68.6%prior 35
5
JEEP10 (3.9%)
↓-16.7%prior 12
6
SUBARU9 (3.5%)
↓-10.0%prior 10
7
NISSAN8 (3.1%)
↓-65.2%prior 23
8
HYUNDAI7 (2.7%)
↓-36.4%prior 11
9
ACURA7 (2.7%)
→0.0%prior 7
10
GMC7 (2.7%)
↓-22.2%prior 9

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2025-06-01 to 2025-06-30 · Vehicle unit records

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

Sex Distribution (317 persons with recorded sex)

Male192 (60.6%)
↓-21.3%prior 244
Female125 (39.4%)
↓-43.2%prior 220

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2025-06-01 to 2025-06-30 · Person-level records linked to crash events

Speed Limit Zones

Crashes in the 25 mph speed zone decreased from 168 in June 2024 to 110 in June 2025. Crashes in the 30 mph speed zone also decreased from 29 to 7, while crashes in the 65 mph speed zone increased from 10 to 12. Fatal rates by zone remained at 0 in all listed speed zones for both periods.

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2025-06-01 to 2025-06-30 · 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: 2025-06-01 through 2025-06-30
  • Report generated: June 21, 2026

Data Coverage

  • Reporting period: 2025-06-01 through 2025-06-30 (30 days)
  • Geographic scope: LOWELL, MA
  • Total crash records analyzed: 137
  • Total persons involved: 349
  • Total vehicles involved: 255

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: June 2025." Published June 21, 2026. Reporting period: 2025-06-01 to 2025-06-30. Data source: Massachusetts Crash Data (MassDOT CDV), Arcgis_yearly Open Data. Available at: https://thatcarhitme.com/crash-data/massachusetts/lowell/june-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 — June 2025 | ThatCarHitMe.com