ThatCarHitMe.com
An Injuria.ai Company
YEAR-OVER-YEAR CRASH REPORT · GLOUCESTER, MA · AUGUST 2023
Purpose: Machine-readable JSON endpoint for AI agents, LLMs, researchers, and programmatic consumers. Returns all underlying crash data and AI-generated commentary without HTML.
Authentication: None required. Public endpoint.
GET: https://thatcarhitme.com/api/crash-data/reports/data/massachusetts/gloucester/august-2023-report
Monthly Traffic Safety Analysis
63 CRASHES IN
GLOUCESTER, MA
AUGUST 2023
In August 2023, Gloucester experienced 63 total crashes, marking a significant increase from the 43 crashes reported in August 2022. This represents a 46.5% rise in total crash incidents year-over-year. The most notable shift was a 62.5% increase in total injuries, from 8 in August 2022 to 13 in August 2023.
63
▲ 46.5%was 43
Total Crash Events
0
Persons Killed
13
▲ 62.5%was 8
Persons Injured
9
▲ 28.6%was 7
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. 10 crashes with unreported severity are not shown in the severity breakdown.
Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2023-08-01 to 2023-08-31 · Aggregate counts from crash, person, and vehicle records
Trend Summary
The overall trend indicates a substantial increase in crash incidents in Gloucester, with total crashes rising by 46.5% from 43 in August 2022 to 63 in August 2023. This upward trend also extends to injuries, which increased by 62.5% year-over-year, from 8 to 13. Fatalities remained at zero for both periods.
9
Hit-and-Run Crashes — August 2023
▲ 28.6% vs prior (7)
The number of hit-and-run crashes increased from 7 in August 2022 to 9 in August 2023. Despite this increase in raw count, the hit-and-run rate decreased from 16.3% of all crashes in August 2022 to 14.3% in August 2023. This indicates that while hit-and-run incidents increased, they did not grow at the same pace as total crashes.
Vulnerable Road User Casualties
0
Cyclists Killed
0
Motorists Killed
1
Cyclists Injured
12
Motorists Injured
Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2023-08-01 to 2023-08-31 · Mode classified from person records (driver/passenger → motorist; pedestrian; bicyclist → cyclist; in-line skater / unspecified → other)
When Crashes Happen
The peak day for crashes remained Thursday in both periods, with 8 crashes in August 2022 and 14 crashes in August 2023. However, the peak hour shifted from 1 PM with 5 crashes in August 2022 to 12 PM with 8 crashes in August 2023. This indicates a general increase in crash frequency across the week, particularly on Thursdays and around midday.
Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2023-08-01 to 2023-08-31 · Crash date field aggregated by weekday
Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2023-08-01 to 2023-08-31 · Crash time field aggregated by hour (0-23)
Crash Severity Breakdown
There were no fatalities reported in either August 2022 or August 2023. Total injuries increased by 62.5%, from 8 in August 2022 to 13 in August 2023. While August 2022 recorded 1 serious injury (2.3% of crashes), August 2023 reported no serious injuries, instead seeing increases in minor and possible injuries.
Outcome by Severity (Crash Events)
Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2023-08-01 to 2023-08-31 · KABCO injury classification scale
Severity Distribution (Crash Events)
Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2023-08-01 to 2023-08-31 · Most severe injury per crash record
Top Contributing Factors
The count of crashes attributed to 'No improper driving' remained consistent at 17 in both periods, though its share decreased from 39.5% to 27% due to the overall increase in crashes. 'Operating vehicle in erratic, reckless, careless, negligent or aggressive manner' saw a significant increase from 1 crash in August 2022 to 6 crashes in August 2023. Additionally, 'Distracted' driving crashes rose from 1 to 3, and 'Over-correcting/over-steering' appeared as a factor in 4 crashes in August 2023, not being present in the prior year.
Officer-Reported Primary Contributing Cause
Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2023-08-01 to 2023-08-31 · Officer-reported primary contributory cause per crash
Road & Environmental Conditions
Crashes occurring in 'Clear' weather conditions increased from 35 in August 2022 to 44 in August 2023. Similarly, crashes during 'Daylight' conditions rose from 37 to 48 year-over-year. The number of crashes on 'Dry' road surfaces also increased from 40 to 53, while crashes on 'Wet' surfaces tripled from 3 to 9.
Weather
Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2023-08-01 to 2023-08-31 · Weather condition at time of crash
Lighting
Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2023-08-01 to 2023-08-31 · Lighting condition field
Road Surface
Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2023-08-01 to 2023-08-31 · Road surface condition field
Vehicles & Demographics
The total number of vehicles involved in crashes increased from 80 in August 2022 to 114 in August 2023. Toyota, Honda, and Ford were among the top vehicle makes involved in crashes in both periods, with Ford showing a notable increase from 8 vehicles in August 2022 to 15 in August 2023. The 65+ age group continued to be the largest demographic involved in crashes, increasing from 18 persons in August 2022 to 23 persons in August 2023.
Top Vehicle Makes (114 vehicles)
Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2023-08-01 to 2023-08-31 · Vehicle unit records
33 persons with unknown or unrecorded age excluded from age chart.
Sex Distribution (89 persons with recorded sex)
Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2023-08-01 to 2023-08-31 · Person-level records linked to crash events
Speed Limit Zones
Crashes in 25 mph speed zones saw a slight increase from 19 in August 2022 to 20 in August 2023. Notably, crashes in 10 mph zones tripled from 1 to 3, and in 55 mph zones also tripled from 1 to 3. There were no fatal crashes reported in any speed zone during either period.
Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2023-08-01 to 2023-08-31 · 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: 2023-08-01 through 2023-08-31
- Report generated: June 21, 2026
Data Coverage
- Reporting period: 2023-08-01 through 2023-08-31 (31 days)
- Geographic scope: GLOUCESTER, MA
- Total crash records analyzed: 63
- Total persons involved: 124
- Total vehicles involved: 114
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: August 2023." Published June 21, 2026. Reporting period: 2023-08-01 to 2023-08-31. Data source: Massachusetts Crash Data (MassDOT CDV), Arcgis_yearly Open Data. Available at: https://thatcarhitme.com/crash-data/massachusetts/gloucester/august-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
ThatCarHitMe.com · An Injuria.ai Company
ThatCarHitMe.com
An Injuria.ai Company
Crash Data Intelligence
Data: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly
Period: 2023-08-01 – 2023-08-31
Generated: June 21, 2026 · All rights reserved