Monthly Traffic Safety Analysis

21 CRASHES IN
DUXBURY, MA
JULY 2022

All metrics benchmarked againstJuly 2021

In Duxbury, July 2022 saw a slight increase in total crashes compared to July 2021, rising from 20 to 21, a 5% increase. However, total injuries experienced a substantial increase of 166.7%, from 3 injuries in the prior period to 8 injuries in the current period. The emergence of one serious injury in July 2022 marks a notable shift in crash outcomes.

21

5.0%was 20

Total Crash Events

0

Persons Killed

8

166.7%was 3

Persons Injured

1

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 · 2022-07-01 to 2022-07-31 · Aggregate counts from crash, person, and vehicle records

Trend Summary

The overall trend indicates a slight increase in total crashes year-over-year, rising by 5% from 20 crashes in July 2021 to 21 crashes in July 2022. More significantly, total injuries increased by 166.7%, from 3 in the prior period to 8 in the current period, suggesting a worsening of crash severity despite the small increase in crash count.

1

Hit-and-Run Crashes — July 2022

4.8% hit-and-run rate this period vs 0.0% prior. Prior period: 0.

Vulnerable Road User Casualties

0

Motorists Killed

Prior: 00.0%

8

Motorists Injured

Prior: 3166.7%

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2022-07-01 to 2022-07-31 · 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 5 crashes in July 2021 to Monday with 6 crashes in July 2022. The peak hour also changed, moving from 1 PM with 5 crashes in the prior period to 9 PM with 3 crashes in the current period, indicating a shift in when crashes are most frequent.

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2022-07-01 to 2022-07-31 · Crash date field aggregated by weekday

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2022-07-01 to 2022-07-31 · Crash time field aggregated by hour (0-23)

Crash Severity Breakdown

Fatalities remained at 0 in both July 2021 and July 2022. Total injuries, however, increased by 166.7%, from 3 in the prior period to 8 in the current period. The current period also recorded 1 serious injury and 2 minor injuries, categories not present in the prior period where only possible injuries were reported.

Outcome by Severity (Crash Events)

Serious Injury1serious injury crashes4.8%
Minor Injury2minor injury crashes9.5%
Possible Injury3possible injury crashes14.3%
0.0%prior 3
No Injury15no injury crashes71.4%
-11.8%prior 17

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2022-07-01 to 2022-07-31 · KABCO injury classification scale

Severity Distribution (Crash Events)

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2022-07-01 to 2022-07-31 · Most severe injury per crash record

Top Contributing Factors

The contributing factor 'No improper driving' decreased from 6 crashes in July 2021 to 5 crashes in July 2022, a 16.7% decrease, while its share decreased from 30% to 23.8%. 'Followed too closely' saw a significant 80% decrease in count, from 5 crashes to 1 crash, and its share dropped from 25% to 4.8%. Conversely, 'Failed to yield right of way' and 'Failure to keep in proper lane or running off road' both increased by 200% in count, from 1 crash each to 3 crashes each, with their shares rising from 5% to 14.3%.

Officer-Reported Primary Contributing Cause

No improper driving5 (23.8%)-16.7%prior 6
Inattention4 (19%)
Failed to yield right of way3 (14.3%)
Failure to keep in proper lane or running off road3 (14.3%)
Fatigued/asleep2 (9.5%)
Driving too fast for conditions1 (4.8%)
Followed too closely1 (4.8%)-80.0%prior 5
Disregarded traffic signs, signals, road markings1 (4.8%)

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2022-07-01 to 2022-07-31 · Officer-reported primary contributory cause per crash

Road & Environmental Conditions

Crashes occurring in 'Clear' weather conditions increased from 17 in July 2021 to 20 in July 2022. Crashes under 'Dark - roadway not lighted' conditions increased from 3 in the prior period to 4 in the current period, a 33.3% increase. Crashes on 'Dry' road surfaces increased from 19 to 20, while crashes on 'Wet' surfaces remained at 1 in both periods.

Weather

Clear20 (95.2%)
17.6%prior 17
Rain1 (4.8%)

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2022-07-01 to 2022-07-31 · Weather condition at time of crash

Lighting

Daylight15 (71.4%)
0.0%prior 15
Dark - roadway not lighted4 (19.0%)
Dark - lighted roadway1 (4.8%)
Dusk1 (4.8%)

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2022-07-01 to 2022-07-31 · Lighting condition field

Road Surface

Dry20 (95.2%)
5.3%prior 19
Wet1 (4.8%)

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2022-07-01 to 2022-07-31 · Road surface condition field

Vehicles & Demographics

Top Vehicle Makes (33 vehicles)

1
HONDA6 (18.2%)
2
VOLVO5 (15.2%)
3
TOYOTA4 (12.1%)
4
FORD3 (9.1%)
5
JEEP3 (9.1%)
6
LEXUS2 (6.1%)
7
MAZDA2 (6.1%)
8
NISSAN2 (6.1%)
9
MERCEDES-BENZ1 (3%)
10
BMW1 (3%)

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2022-07-01 to 2022-07-31 · Vehicle unit records

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

Sex Distribution (35 persons with recorded sex)

Male20 (57.1%)
-23.1%prior 26
Female15 (42.9%)
-21.1%prior 19

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2022-07-01 to 2022-07-31 · Person-level records linked to crash events

Speed Limit Zones

Crashes in the 60 mph speed zone increased by 125%, from 4 in July 2021 to 9 in July 2022. Conversely, crashes in the 30 mph zone decreased by 25% (from 8 to 6) and in the 40 mph zone by 40% (from 5 to 3). Crashes in the 25 mph zone, with 2 incidents, were observed in July 2022 but not in July 2021, while crashes in the 45 mph and 65 mph zones from the prior period were not present in the current period. No fatalities were recorded in any speed zone during either period.

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2022-07-01 to 2022-07-31 · 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: 2022-07-01 through 2022-07-31
  • Report generated: June 21, 2026

Data Coverage

  • Reporting period: 2022-07-01 through 2022-07-31 (31 days)
  • Geographic scope: DUXBURY, MA
  • Total crash records analyzed: 21
  • Total persons involved: 38
  • Total vehicles involved: 33

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: July 2022." Published June 21, 2026. Reporting period: 2022-07-01 to 2022-07-31. Data source: Massachusetts Crash Data (MassDOT CDV), Arcgis_yearly Open Data. Available at: https://thatcarhitme.com/crash-data/massachusetts/duxbury/july-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 — July 2022 | ThatCarHitMe.com