Monthly Traffic Safety Analysis

16 CRASHES IN
DUXBURY, MA
AUGUST 2022

All metrics benchmarked againstAugust 2021

In August 2022, Duxbury experienced 16 total crashes, an increase of 23.1% compared to the 13 crashes reported in August 2021. The most notable year-over-year shift was the emergence of DUI-related crashes and hit-and-run crashes, both increasing from 0 to 2 incidents.

16

23.1%was 13

Total Crash Events

0

Persons Killed

5

25.0%was 4

Persons Injured

2

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.

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2022-08-01 to 2022-08-31 · Aggregate counts from crash, person, and vehicle records

Trend Summary

The overall trend indicates a rise in crash incidents, with total crashes increasing from 13 in August 2021 to 16 in August 2022, representing a 23.1% increase. Total injuries also saw an increase, rising by 25% from 4 to 5 individuals over the same period.

2

Hit-and-Run Crashes — August 2022

12.5% hit-and-run rate this period vs 0.0% prior. Prior period: 0.

Vulnerable Road User Casualties

0

Motorists Killed

Prior: 00.0%

5

Motorists Injured

Prior: 425.0%

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2022-08-01 to 2022-08-31 · Mode classified from person records (driver/passenger → motorist; pedestrian; bicyclist → cyclist; in-line skater / unspecified → other)

When Crashes Happen

The temporal distribution of crashes shifted year-over-year, with the peak day moving from Thursday (4 crashes) in August 2021 to Tuesday (5 crashes) in August 2022. The peak hour also changed, with August 2021 seeing a peak at 2 p.m. (3 crashes) while August 2022 had multiple hours with 2 crashes, including 10 p.m. Notably, Friday and Saturday, which had no crashes in August 2021, recorded 1 and 4 crashes respectively in August 2022.

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2022-08-01 to 2022-08-31 · Crash date field aggregated by weekday

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2022-08-01 to 2022-08-31 · Crash time field aggregated by hour (0-23)

Crash Severity Breakdown

Fatalities remained at 0 in both August 2021 and August 2022. While the prior period recorded 2 serious injuries (severity A), the current period reported none, instead showing 3 minor injuries (severity B) and 1 possible injury (severity C). The proportion of crashes resulting in no injury increased from 69.2% in August 2021 to 75% in August 2022.

Outcome by Severity (Crash Events)

Minor Injury3minor injury crashes18.8%
200.0%prior 1
Possible Injury1possible injury crashes6.3%
0.0%prior 1
No Injury12no injury crashes75%
33.3%prior 9

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2022-08-01 to 2022-08-31 · KABCO injury classification scale

Severity Distribution (Crash Events)

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2022-08-01 to 2022-08-31 · Most severe injury per crash record

Top Contributing Factors

The top contributing factor, 'No improper driving,' remained constant at 3 crashes in both periods. 'Failed to yield right of way' and 'Operating vehicle in erratic, reckless, careless, negligent or aggressive manner' each increased from 0 crashes in August 2021 to 2 crashes in August 2022. Conversely, factors like 'Failure to keep in proper lane or running off road' and 'Illness' decreased from 1 crash each in the prior period to 0 crashes in the current period.

Officer-Reported Primary Contributing Cause

No improper driving3 (18.8%)
Failed to yield right of way2 (12.5%)
Operating vehicle in erratic, reckless, careless, negligent or aggressive manner2 (12.5%)
Followed too closely2 (12.5%)
Distracted2 (12.5%)
Swerving or avoiding due to wind, slippery surface, vehicle, object, vulnerable user in roadway1 (6.3%)
Driving too fast for conditions1 (6.3%)
Fatigued/asleep1 (6.3%)
Inattention1 (6.3%)
Other improper action1 (6.3%)

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2022-08-01 to 2022-08-31 · Officer-reported primary contributory cause per crash

Road & Environmental Conditions

Crashes occurring in clear weather increased from 10 in August 2021 to 14 in August 2022, with the proportion of clear weather crashes rising from 76.9% to 87.5%. Crashes on wet road surfaces remained constant at 2 incidents in both periods. There was a notable shift in lighting conditions, as crashes in daylight decreased from 11 to 7, while crashes in dark conditions (including 'Dark - roadway not lighted' and 'Dark - lighted roadway') increased from 2 to 7.

Weather

Clear14 (93.3%)
40.0%prior 10
Cloudy1 (6.7%)

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2022-08-01 to 2022-08-31 · Weather condition at time of crash

Lighting

Daylight7 (43.8%)
-36.4%prior 11
Dark - roadway not lighted4 (25.0%)
Dark - lighted roadway2 (12.5%)
Dark - unknown roadway lighting1 (6.3%)
Dawn1 (6.3%)
Dusk1 (6.3%)

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2022-08-01 to 2022-08-31 · Lighting condition field

Road Surface

Dry14 (87.5%)
27.3%prior 11
Wet2 (12.5%)

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2022-08-01 to 2022-08-31 · Road surface condition field

Vehicles & Demographics

Top Vehicle Makes (25 vehicles)

1
FORD4 (16%)
2
NISSAN4 (16%)
3
CHEVROLET4 (16%)
4
HONDA3 (12%)
5
TOYOTA2 (8%)
6
JEEP1 (4%)
7
MAZDA1 (4%)
8
SUBARU1 (4%)
9
CHRYSLER1 (4%)
10
DODGE1 (4%)

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2022-08-01 to 2022-08-31 · Vehicle unit records

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

Sex Distribution (27 persons with recorded sex)

Male15 (55.6%)
87.5%prior 8
Female12 (44.4%)
9.1%prior 11

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2022-08-01 to 2022-08-31 · Person-level records linked to crash events

Speed Limit Zones

No fatal crashes were recorded in any speed zone for either period. Crashes occurring in the 60 MPH speed limit zone saw a significant increase, rising from 1 in August 2021 to 5 in August 2022. Conversely, crashes in the 30 MPH zone decreased from 5 to 3 over the same period, indicating a shift towards higher speed zones for crash occurrences.

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2022-08-01 to 2022-08-31 · 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: 2022-08-01 through 2022-08-31
  • Report generated: June 21, 2026

Data Coverage

  • Reporting period: 2022-08-01 through 2022-08-31 (31 days)
  • Geographic scope: DUXBURY, MA
  • Total crash records analyzed: 16
  • Total persons involved: 29
  • Total vehicles involved: 25

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). "DUXBURY, MA Crash Intelligence Report: August 2022." Published June 21, 2026. Reporting period: 2022-08-01 to 2022-08-31. Data source: Massachusetts Crash Data (MassDOT CDV), Arcgis_yearly Open Data. Available at: https://thatcarhitme.com/crash-data/massachusetts/duxbury/august-2022-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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Duxbury, MA Crash Report — August 2022 | ThatCarHitMe.com