Monthly Traffic Safety Analysis

71 CRASHES IN
GLOUCESTER, MA
JULY 2023

All metrics benchmarked againstJuly 2022

In July 2023, Gloucester experienced 71 total crashes, a 31.5% increase compared to 54 crashes in July 2022. A notable change is the increase in total fatalities from 0 in July 2022 to 1 in July 2023.

71

31.5%was 54

Total Crash Events

1

Persons Killed

12

9.1%was 11

Persons Injured

7

16.7%was 6

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. 12 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 July 2023 show an increase compared to July 2022. Total crashes rose by 31.5%, from 54 to 71, while total fatalities increased from 0 to 1 during the same period.

7

Hit-and-Run Crashes — July 2023

16.7% vs prior (6)

The number of hit-and-run crashes increased from 6 in July 2022 to 7 in July 2023. However, the overall hit-and-run rate decreased from 11.1% of all crashes in July 2022 to 9.9% in July 2023.

Vulnerable Road User Casualties

0

Pedestrians Killed

Prior: 00.0%

0

Cyclists Killed

Prior: 00.0%

1

Motorists Killed

Prior: 0%

1

Pedestrians Injured

Prior: 0%

1

Cyclists Injured

Prior: 2-50.0%

10

Motorists Injured

Prior: 911.1%

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 in July 2022 (11 crashes) to Thursday in July 2023 (13 crashes). The peak crash hour also changed, moving from 6 PM with 6 crashes in July 2022 to 2 PM with 11 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

Fatal crashes increased from 0 in July 2022 to 1 in July 2023, resulting in a fatal rate of 1.4% in the current period. The number of total injuries rose slightly from 11 in July 2022 to 12 in July 2023.

Outcome by Severity (Crash Events)

Fatal1fatal crashes1.4%
Minor Injury6minor injury crashes8.5%
100.0%prior 3
Possible Injury3possible injury crashes4.2%
-40.0%prior 5
No Injury49no injury crashes69%
32.4%prior 37

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 crashes attributed to 'No improper driving' increased by 64.3%, rising from 14 in July 2022 to 23 in July 2023. Crashes involving 'Inattention' also increased from 4 to 5, a 25% rise, while 'Distracted' driving crashes decreased by 25%, from 4 to 3. 'Followed too closely' emerged as a contributing factor in 3 crashes in July 2023, not being a prominent factor in the prior period.

Officer-Reported Primary Contributing Cause

No improper driving23 (32.4%)64.3%prior 14
Inattention5 (7%)
Distracted3 (4.2%)
Swerving or avoiding due to wind, slippery surface, vehicle, object, vulnerable user in roadway3 (4.2%)
Followed too closely3 (4.2%)
Over-correcting/over-steering2 (2.8%)
Visibility obstructed2 (2.8%)
Failed to yield right of way2 (2.8%)
Failure to keep in proper lane or running off road2 (2.8%)
Operating vehicle in erratic, reckless, careless, negligent or aggressive manner1 (1.4%)

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

The proportion of crashes occurring in 'Clear' or 'Partially Clear' weather conditions slightly decreased from 88.9% in July 2022 to 85.9% in July 2023. Crashes on 'Wet' road surfaces doubled from 2 in July 2022 to 4 in July 2023. The number of crashes occurring during 'Daylight' hours increased from 43 to 58, maintaining a similar proportion of total crashes.

Weather

Clear47 (67.1%)
11.9%prior 42
Clear/Other11 (15.7%)
Cloudy6 (8.6%)
Clear/Cloudy2 (2.9%)
Rain2 (2.9%)
Clear/Rain1 (1.4%)
Cloudy/Rain1 (1.4%)

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

Lighting

Daylight58 (82.9%)
34.9%prior 43
Dark - lighted roadway7 (10.0%)
40.0%prior 5
Dark - roadway not lighted3 (4.3%)
Dawn2 (2.9%)

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

Road Surface

Dry65 (92.9%)
27.5%prior 51
Wet4 (5.7%)
Sand, mud, dirt, oil, gravel1 (1.4%)

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

Vehicles & Demographics

FORD vehicles were involved in significantly more crashes, rising from 8 in July 2022 to 21 in July 2023, becoming the most frequent make. Toyota and Honda also saw increases in involvement, from 13 to 15 and 10 to 12 respectively. The age group 35-44 experienced a substantial increase in person involvement, from 5 in July 2022 to 17 in July 2023.

Top Vehicle Makes (139 vehicles)

1
FORD21 (15.1%)
162.5%prior 8
2
TOYOTA15 (10.8%)
15.4%prior 13
3
HONDA12 (8.6%)
20.0%prior 10
4
SUBARU10 (7.2%)
11.1%prior 9
5
NISSAN9 (6.5%)
50.0%prior 6
6
CHEVROLET9 (6.5%)
50.0%prior 6
7
JEEP7 (5%)
16.7%prior 6
8
LEXUS4 (2.9%)
9
MERCEDES-BENZ4 (2.9%)
10
HYUNDAI4 (2.9%)

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

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

Sex Distribution (109 persons with recorded sex)

Male63 (57.8%)
70.3%prior 37
Female46 (42.2%)
43.8%prior 32

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 the 25 mph speed zone more than doubled, increasing from 11 in July 2022 to 23 in July 2023. The 30 mph zone also saw a significant rise in crashes, from 2 to 7. A fatal crash occurred in a 20 mph zone in July 2023, where no fatalities were recorded in the prior period for that zone.

Fatal crashes by zone: 20 mph: 1 of 8 (12.5%)

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: GLOUCESTER, MA
  • Total crash records analyzed: 71
  • Total persons involved: 152
  • Total vehicles involved: 139

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). "GLOUCESTER, 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/gloucester/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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Gloucester, MA Crash Report — July 2023 | ThatCarHitMe.com