Monthly Traffic Safety Analysis

21 CRASHES IN
PROVINCETOWN, MA
JULY 2022

All metrics benchmarked againstJuly 2021

In July 2022, PROVINCETOWN experienced 21 total crashes, an increase of 23.5% compared to the 17 crashes reported in July 2021. Total injuries rose by 83.3%, from 6 to 11, while there were no fatalities in either period. A significant shift was observed in bicycle crashes, which increased from 2 in July 2021 to 6 in July 2022, representing a 200% rise.

21

23.5%was 17

Total Crash Events

0

Persons Killed

11

83.3%was 6

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. 1 crash with unreported severity is not shown in the severity breakdown.

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

Overall crash data for PROVINCETOWN indicates an upward trend year-over-year, with total crashes increasing from 17 in July 2021 to 21 in July 2022, marking a 23.5% rise. Concurrently, the number of injured persons also saw a substantial increase, rising by 83.3% from 6 to 11. Fatalities remained stable at zero in both periods.

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

Pedestrians Killed

Prior: 00.0%

0

Cyclists Killed

Prior: 00.0%

0

Motorists Killed

Prior: 00.0%

0

Other Killed

Prior: 00.0%

1

Pedestrians Injured

Prior: 10.0%

5

Cyclists Injured

Prior: 1400.0%

4

Motorists Injured

Prior: 40.0%

1

Other Injured

Prior: 0%

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 temporal distribution of crashes shifted significantly year-over-year. In July 2021, the peak day for crashes was Monday with 4 incidents, whereas in July 2022, Saturday became the peak day with 7 crashes. Similarly, the peak hour for crashes moved from 2 PM with 5 incidents in July 2021 to 10 AM with 6 incidents in July 2022.

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 zero for both July 2021 and July 2022. However, the total number of injuries increased from 6 in July 2021 to 11 in July 2022. The number of minor injuries doubled from 2 to 4, and 4 crashes resulting in possible injuries were reported in July 2022, which were not explicitly categorized in July 2021.

Outcome by Severity (Crash Events)

Serious Injury1serious injury crashes4.8%
0.0%prior 1
Minor Injury4minor injury crashes19%
100.0%prior 2
Possible Injury4possible injury crashes19%
No Injury11no injury crashes52.4%
-21.4%prior 14

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

Crashes attributed to 'No improper driving' increased from 6 incidents (35.3% share) in July 2021 to 10 incidents (47.6% share) in July 2022. 'Operating vehicle in erratic, reckless, careless, negligent or aggressive manner' also rose from 1 incident to 3 incidents. Conversely, 'Other improper action' decreased from 3 crashes in July 2021 to 0 in July 2022, and 'Exceeded authorized speed limit' decreased from 1 crash to 0.

Officer-Reported Primary Contributing Cause

No improper driving10 (47.6%)66.7%prior 6
Operating vehicle in erratic, reckless, careless, negligent or aggressive manner3 (14.3%)
Inattention1 (4.8%)
Made an improper turn1 (4.8%)
Over-correcting/over-steering1 (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 significantly increased from 10 in July 2021 to 20 in July 2022. The proportion of crashes occurring in 'Daylight' conditions remained high, increasing from 16 to 18 incidents year-over-year. Notably, crashes occurring at 'Dawn' and 'Dusk' were reported in July 2022 (1 incident each), which were not present in July 2021 data.

Weather

Clear20 (95.2%)
100.0%prior 10
Clear/Other1 (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

Daylight18 (85.7%)
12.5%prior 16
Dark - lighted roadway1 (4.8%)
Dawn1 (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

Vehicles & Demographics

Top Vehicle Makes (29 vehicles)

1
TOYOTA7 (24.1%)
2
SUBARU3 (10.3%)
3
KIA3 (10.3%)
4
FORD3 (10.3%)
-40.0%prior 5
5
VOLVO2 (6.9%)
6
HONDA2 (6.9%)
7
MERCEDES-BENZ2 (6.9%)
8
BMW2 (6.9%)
9
HYUNDAI1 (3.4%)
10
DODGE1 (3.4%)

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 (42 persons with recorded sex)

Male28 (66.7%)
12.0%prior 25
Female14 (33.3%)
133.3%prior 6

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

There was a notable shift in the distribution of crashes across speed zones. Crashes in 25 mph zones increased from 1 in July 2021 to 5 in July 2022, and those in 50 mph zones rose from 1 to 3 incidents. Additionally, crashes were reported in 45 mph (2 incidents) and 55 mph (1 incident) zones in July 2022, which had no reported crashes in July 2021. Fatal crash rates remained zero across all speed zones in both periods.

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: PROVINCETOWN, MA
  • Total crash records analyzed: 21
  • Total persons involved: 44
  • Total vehicles involved: 29

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). "PROVINCETOWN, 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/provincetown/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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Provincetown, MA Crash Report — July 2022 | ThatCarHitMe.com