Monthly Traffic Safety Analysis

34 CRASHES IN
MASHPEE, MA
JULY 2023

All metrics benchmarked againstJuly 2022

In July 2023, MASHPEE experienced 34 total crashes, an increase of 9.68% compared to the 31 crashes recorded in July 2022. The most significant year-over-year shift was the increase in total fatalities, from 0 in July 2022 to 1 in July 2023.

34

9.7%was 31

Total Crash Events

1

Persons Killed

14

27.3%was 11

Persons Injured

2

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.

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 data for MASHPEE indicates an upward trend year-over-year, with total crashes rising by 9.68% from 31 to 34. This increase was accompanied by a rise in total injuries from 11 to 14, and the occurrence of one fatal crash in July 2023 compared to none in July 2022.

2

Hit-and-Run Crashes — July 2023

5.9% hit-and-run rate this period vs 0.0% prior. Prior period: 0.

Vulnerable Road User Casualties

1

Motorists Killed

Prior: 0%

14

Motorists Injured

Prior: 1040.0%

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 with 6 crashes in July 2022 to Sunday with 9 crashes in July 2023. The peak hour also shifted, with 11a recording the most crashes (5) in July 2022, while 4p recorded the most crashes (5) 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 crash rate of 2.9% in the current period. Minor injury crashes saw a slight increase from 5 to 6, while possible injury crashes decreased from 4 to 1. The proportion of no-injury crashes increased from 67.7% to 76.5% of all crashes.

Outcome by Severity (Crash Events)

Fatal1fatal crashes2.9%
Minor Injury6minor injury crashes17.6%
20.0%prior 5
Possible Injury1possible injury crashes2.9%
-75.0%prior 4
No Injury26no injury crashes76.5%
23.8%prior 21

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 where 'Inattention' was a contributing factor increased from 8 in July 2022 to 14 in July 2023, a 75% increase. 'Followed too closely' also increased from 4 crashes to 6 crashes, a 50% increase. Conversely, crashes attributed to 'No improper driving' decreased by 57.1%, from 7 to 3.

Officer-Reported Primary Contributing Cause

Inattention14 (41.2%)75.0%prior 8
Followed too closely6 (17.6%)
No improper driving3 (8.8%)-57.1%prior 7
Failed to yield right of way2 (5.9%)
Failure to keep in proper lane or running off road2 (5.9%)
Operating defective equipment1 (2.9%)
Operating vehicle in erratic, reckless, careless, negligent or aggressive manner1 (2.9%)
Other improper action1 (2.9%)
Wrong side or wrong way1 (2.9%)
Disregarded traffic signs, signals, road markings1 (2.9%)

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

Crashes occurring in clear weather remained consistent at 22 for both periods, and cloudy weather crashes also stayed at 9. Crashes in daylight conditions increased from 24 in July 2022 to 31 in July 2023. The 'Cloudy/Rain' condition was noted for 3 crashes in July 2023, which was not present in the prior period's top conditions, while 'Dark - roadway not lighted' was present in July 2022 but not July 2023. Road surface conditions could not be compared due to missing data for the prior period.

Weather

Clear22 (64.7%)
0.0%prior 22
Cloudy9 (26.5%)
0.0%prior 9
Cloudy/Rain3 (8.8%)

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

Lighting

Daylight31 (91.2%)
29.2%prior 24
Dark - lighted roadway2 (5.9%)
Dusk1 (2.9%)

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

Road Surface

Dry31 (91.2%)
Wet3 (8.8%)

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

Vehicles & Demographics

The 0-15 age group saw a substantial increase in persons involved, rising from 4 in July 2022 to 27 in July 2023. Similarly, the 65+ age group also increased from 8 to 15 persons involved year-over-year. Toyota remained the top vehicle make involved in crashes, increasing from 10 to 13, while Honda vehicles involved increased from 2 to 7.

Top Vehicle Makes (76 vehicles)

1
TOYOTA13 (17.1%)
30.0%prior 10
2
HONDA7 (9.2%)
3
FORD6 (7.9%)
-14.3%prior 7
4
CHEVROLET6 (7.9%)
0.0%prior 6
5
SUBARU4 (5.3%)
6
JEEP3 (3.9%)
7
LEXUS3 (3.9%)
8
NISSAN3 (3.9%)
9
MAZDA2 (2.6%)
10
GMC2 (2.6%)

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

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

Sex Distribution (98 persons with recorded sex)

Male52 (53.1%)
33.3%prior 39
Female46 (46.9%)
58.6%prior 29

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 50 mph speed limit zone increased from 6 in July 2022 to 13 in July 2023, and this zone accounted for the single fatal crash in the current period. Crashes in the 40 mph zone decreased from 9 to 3, while crashes in the 30 mph zone increased from 4 to 7.

Fatal crashes by zone: 50 mph: 1 of 13 (7.692%)

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: MASHPEE, MA
  • Total crash records analyzed: 34
  • Total persons involved: 119
  • Total vehicles involved: 76

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). "MASHPEE, 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/mashpee/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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Mashpee, MA Crash Report — July 2023 | ThatCarHitMe.com