Monthly Traffic Safety Analysis

27 CRASHES IN
MASHPEE, MA
SEPTEMBER 2022

All metrics benchmarked againstSeptember 2021

Total crashes in MASHPEE decreased by 12.9%, from 31 in September 2021 to 27 in September 2022. Concurrently, total injuries saw a substantial decrease of 45.5%, falling from 11 injuries to 6 injuries. This significant reduction in injuries is the most notable year-over-year shift for the period.

27

-12.9%was 31

Total Crash Events

0

Persons Killed

6

-45.5%was 11

Persons Injured

0

Fatal Crash Events

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 · 2022-09-01 to 2022-09-30 · Aggregate counts from crash, person, and vehicle records

Trend Summary

Overall, crash activity in MASHPEE trended downwards year-over-year, with total crashes decreasing from 31 to 27, a 12.9% reduction. Total injuries also decreased, falling from 11 to 6, which represents a 45.5% reduction. There were no traffic fatalities reported in either September 2021 or September 2022, indicating a stable fatal crash rate.

Vulnerable Road User Casualties

0

Pedestrians Killed

Prior: 00.0%

0

Motorists Killed

Prior: 00.0%

1

Pedestrians Injured

Prior: 0%

5

Motorists Injured

Prior: 11-54.5%

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2022-09-01 to 2022-09-30 · 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 Monday in both periods, although the count decreased from 12 crashes in September 2021 to 7 crashes in September 2022. The peak hour for crashes shifted from 3 PM, which had 5 crashes in September 2021, to 9 AM, which had 4 crashes in September 2022. This indicates a change in the most frequent crash time from the afternoon to the morning.

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2022-09-01 to 2022-09-30 · Crash date field aggregated by weekday

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2022-09-01 to 2022-09-30 · Crash time field aggregated by hour (0-23)

Crash Severity Breakdown

No fatal crashes were reported in MASHPEE in either September 2021 or September 2022. The number of minor injury crashes decreased from 6 (19.4% share of crashes) in September 2021 to 2 (7.4% share of crashes) in September 2022. Possible injury crashes increased from 1 (3.2% share of crashes) to 2 (7.4% share of crashes) year-over-year, while crashes with no injuries increased from 21 (67.7% share of crashes) to 22 (81.5% share of crashes).

Outcome by Severity (Crash Events)

Minor Injury2minor injury crashes7.4%
-66.7%prior 6
Possible Injury2possible injury crashes7.4%
100.0%prior 1
No Injury22no injury crashes81.5%
4.8%prior 21

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2022-09-01 to 2022-09-30 · KABCO injury classification scale

Severity Distribution (Crash Events)

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2022-09-01 to 2022-09-30 · Most severe injury per crash record

Top Contributing Factors

The contributing factor 'Inattention' remained consistent, accounting for 8 crashes in both September 2021 and September 2022. 'Failed to yield right of way' crashes increased from 4 in September 2021 to 6 in September 2022. Crashes attributed to 'Followed too closely' remained at 4 in both periods. 'No improper driving' as a factor increased from 1 crash in September 2021 to 3 crashes in September 2022.

Officer-Reported Primary Contributing Cause

Inattention8 (29.6%)0.0%prior 8
Failed to yield right of way6 (22.2%)
Followed too closely4 (14.8%)
No improper driving3 (11.1%)
Operating vehicle in erratic, reckless, careless, negligent or aggressive manner2 (7.4%)
Distracted1 (3.7%)
Glare1 (3.7%)
Disregarded traffic signs, signals, road markings1 (3.7%)

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2022-09-01 to 2022-09-30 · Officer-reported primary contributory cause per crash

Road & Environmental Conditions

Crashes occurring in clear weather conditions decreased from 22 in September 2021 to 20 in September 2022. Crashes during cloudy conditions also decreased, from 6 to 3. Conversely, crashes on wet road surfaces saw a slight increase from 3 in September 2021 to 4 in September 2022.

Weather

Clear20 (74.1%)
-9.1%prior 22
Cloudy3 (11.1%)
-50.0%prior 6
Rain3 (11.1%)
Rain/Cloudy1 (3.7%)

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2022-09-01 to 2022-09-30 · Weather condition at time of crash

Lighting

Daylight22 (81.5%)
-8.3%prior 24
Dark - roadway not lighted3 (11.1%)
Dark - lighted roadway1 (3.7%)
Dusk1 (3.7%)

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2022-09-01 to 2022-09-30 · Lighting condition field

Road Surface

Dry23 (85.2%)
-17.9%prior 28
Wet4 (14.8%)

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2022-09-01 to 2022-09-30 · Road surface condition field

Vehicles & Demographics

Top Vehicle Makes (49 vehicles)

1
FORD9 (18.4%)
12.5%prior 8
2
TOYOTA7 (14.3%)
3
HONDA5 (10.2%)
4
CHEVROLET4 (8.2%)
-33.3%prior 6
5
HYUNDAI3 (6.1%)
6
BMW3 (6.1%)
7
VOLKSWAGEN2 (4.1%)
8
CHRYSLER2 (4.1%)
9
DODGE2 (4.1%)
10
JEEP2 (4.1%)

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2022-09-01 to 2022-09-30 · Vehicle unit records

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

Sex Distribution (58 persons with recorded sex)

Male36 (62.1%)
-5.3%prior 38
Female22 (37.9%)
-21.4%prior 28

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2022-09-01 to 2022-09-30 · Person-level records linked to crash events

Speed Limit Zones

No fatal crashes were reported in any speed zone for either September 2021 or September 2022. Crashes occurring in 30 mph zones decreased from 8 in September 2021 to 6 in September 2022. Crashes in 40 mph zones also decreased significantly, from 8 to 3. In contrast, crashes in 20 mph zones increased from 1 in September 2021 to 4 in September 2022, and crashes in 50 mph zones increased from 4 to 5.

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2022-09-01 to 2022-09-30 · 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: 2022-09-01 through 2022-09-30
  • Report generated: June 21, 2026

Data Coverage

  • Reporting period: 2022-09-01 through 2022-09-30 (30 days)
  • Geographic scope: MASHPEE, MA
  • Total crash records analyzed: 27
  • Total persons involved: 61
  • Total vehicles involved: 49

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: September 2022." Published June 21, 2026. Reporting period: 2022-09-01 to 2022-09-30. Data source: Massachusetts Crash Data (MassDOT CDV), Arcgis_yearly Open Data. Available at: https://thatcarhitme.com/crash-data/massachusetts/mashpee/september-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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Mashpee, MA Crash Report — September 2022 | ThatCarHitMe.com