Monthly Traffic Safety Analysis

189 CRASHES IN
LOWELL, MA
JULY 2023

All metrics benchmarked againstJuly 2022

Total crashes in Lowell decreased from 222 in July 2022 to 189 in July 2023, representing a 14.9% reduction. The most notable year-over-year shift was the decrease in total fatalities from 1 in July 2022 to 0 in July 2023.

189

-14.9%was 222

Total Crash Events

0

-100.0%was 1

Persons Killed

84

27.3%was 66

Persons Injured

36

-33.3%was 54

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

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2023-07-01 to 2023-07-31 · Aggregate counts from crash, person, and vehicle records

Trend Summary

Overall crash trends in Lowell showed a decrease year-over-year, with total crashes falling by 14.9%, from 222 in July 2022 to 189 in July 2023. Fatalities also decreased significantly, from 1 in July 2022 to 0 in July 2023.

36

Hit-and-Run Crashes — July 2023

-33.3% vs prior (54)

Hit and run crashes decreased from 54 in July 2022 to 36 in July 2023. The hit and run rate also decreased year-over-year, from 24.3% of total crashes in July 2022 to 19% in July 2023.

Vulnerable Road User Casualties

0

Pedestrians Killed

Prior: 00.0%

0

Cyclists Killed

Prior: 00.0%

0

Motorists Killed

Prior: 1-100.0%

3

Pedestrians Injured

Prior: 250.0%

2

Cyclists Injured

Prior: 20.0%

79

Motorists Injured

Prior: 6227.4%

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2023-07-01 to 2023-07-31 · 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 Friday with 44 crashes in July 2022 to Monday and Saturday, both with 34 crashes, in July 2023. The peak hour for crashes also shifted, moving from 5 PM with 24 crashes in July 2022 to 2 PM with 22 crashes in July 2023.

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2023-07-01 to 2023-07-31 · Crash date field aggregated by weekday

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2023-07-01 to 2023-07-31 · Crash time field aggregated by hour (0-23)

Crash Severity Breakdown

Total fatalities decreased from 1 in July 2022 to 0 in July 2023, while total injuries increased from 66 to 84. Serious injuries (Severity A) increased from 1 (0.5% of crashes) in July 2022 to 6 (3.2% of crashes) in July 2023. Crashes resulting in no injury represented a larger proportion of total crashes in July 2023 at 65.6% (124 crashes) compared to July 2022 at 56.8% (126 crashes).

Outcome by Severity (Crash Events)

Serious Injury6serious injury crashes3.2%
500.0%prior 1
Minor Injury23minor injury crashes12.2%
4.5%prior 22
Possible Injury18possible injury crashes9.5%
-21.7%prior 23
No Injury124no injury crashes65.6%
-1.6%prior 126

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2023-07-01 to 2023-07-31 · KABCO injury classification scale

Severity Distribution (Crash Events)

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2023-07-01 to 2023-07-31 · Most severe injury per crash record

Top Contributing Factors

The count of 'No improper driving' crashes decreased by 13, from 77 in July 2022 to 64 in July 2023. 'Inattention' saw a notable decrease of 17 crashes, falling from 25 to 8. Conversely, 'Disregarded traffic signs, signals, road markings' increased by 6 crashes, from 5 in July 2022 to 11 in July 2023.

Officer-Reported Primary Contributing Cause

No improper driving64 (33.9%)-16.9%prior 77
Failed to yield right of way17 (9%)-10.5%prior 19
Followed too closely13 (6.9%)18.2%prior 11
Disregarded traffic signs, signals, road markings11 (5.8%)120.0%prior 5
Inattention8 (4.2%)-68.0%prior 25
Fatigued/asleep5 (2.6%)
Driving too fast for conditions4 (2.1%)
Operating vehicle in erratic, reckless, careless, negligent or aggressive manner3 (1.6%)
Failure to keep in proper lane or running off road3 (1.6%)
Other improper action2 (1.1%)-71.4%prior 7

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2023-07-01 to 2023-07-31 · Officer-reported primary contributory cause per crash

Road & Environmental Conditions

Crashes occurring in 'Clear' weather conditions decreased by 9, from 128 in July 2022 to 119 in July 2023. Crashes on 'Wet' road surfaces significantly increased from 8 in July 2022 to 30 in July 2023. The number of crashes occurring during 'Daylight' decreased by 20, from 157 in July 2022 to 137 in July 2023.

Weather

Clear119 (65.4%)
-7.0%prior 128
Clear/Clear20 (11.0%)
-70.1%prior 67
Cloudy16 (8.8%)
128.6%prior 7
Rain12 (6.6%)
Cloudy/Rain7 (3.8%)
Rain/Rain4 (2.2%)
Cloudy/Clear1 (0.5%)
Rain/Clear1 (0.5%)
Rain/Cloudy1 (0.5%)
Cloudy/Cloudy1 (0.5%)

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2023-07-01 to 2023-07-31 · Weather condition at time of crash

Lighting

Daylight137 (75.7%)
-12.7%prior 157
Dark - lighted roadway33 (18.2%)
-26.7%prior 45
Dark - roadway not lighted7 (3.9%)
0.0%prior 7
Dusk3 (1.7%)
-40.0%prior 5
Dawn1 (0.6%)

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2023-07-01 to 2023-07-31 · Lighting condition field

Road Surface

Dry151 (83.0%)
-27.1%prior 207
Wet30 (16.5%)
275.0%prior 8
Snow1 (0.5%)

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2023-07-01 to 2023-07-31 · Road surface condition field

Vehicles & Demographics

The total number of vehicles involved in crashes decreased from 445 in July 2022 to 376 in July 2023. Nissan saw a significant increase in vehicle involvement, from 12 in July 2022 to 33 in July 2023. The 16-20 and 21-25 age groups showed increases in person involvement, rising from 37 to 50 persons and 37 to 58 persons respectively.

Top Vehicle Makes (376 vehicles)

1
TOYOTA71 (18.9%)
-14.5%prior 83
2
HONDA70 (18.6%)
-16.7%prior 84
3
NISSAN33 (8.8%)
175.0%prior 12
4
FORD25 (6.6%)
-37.5%prior 40
5
CHEVROLET19 (5.1%)
-24.0%prior 25
6
JEEP16 (4.3%)
-5.9%prior 17
7
ACURA12 (3.2%)
-25.0%prior 16
8
KIA10 (2.7%)
42.9%prior 7
9
SUBARU10 (2.7%)
-37.5%prior 16
10
LEXUS7 (1.9%)
-12.5%prior 8

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2023-07-01 to 2023-07-31 · Vehicle unit records

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

Sex Distribution (411 persons with recorded sex)

Male228 (55.5%)
-6.6%prior 244
Female183 (44.5%)
9.6%prior 167

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2023-07-01 to 2023-07-31 · Person-level records linked to crash events

Speed Limit Zones

Crashes in 30 mph speed zones increased from 42 in July 2022 to 71 in July 2023. There was one fatal crash recorded in a 30 mph zone in July 2022, while no fatal crashes were recorded in any speed zone in July 2023. Crashes in 25 mph zones also increased from 6 to 13, and in 65 mph zones from 9 to 12.

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2023-07-01 to 2023-07-31 · 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: 2023-07-01 through 2023-07-31
  • Report generated: June 21, 2026

Data Coverage

  • Reporting period: 2023-07-01 through 2023-07-31 (31 days)
  • Geographic scope: LOWELL, MA
  • Total crash records analyzed: 189
  • Total persons involved: 501
  • Total vehicles involved: 376

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 2023." Published June 21, 2026. Reporting period: 2023-07-01 to 2023-07-31. Data source: Massachusetts Crash Data (MassDOT CDV), Arcgis_yearly Open Data. Available at: https://thatcarhitme.com/crash-data/massachusetts/lowell/july-2023-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 2023 | ThatCarHitMe.com