Monthly Traffic Safety Analysis

118 CRASHES IN
BARNSTABLE, MA
AUGUST 2022

All metrics benchmarked againstAugust 2021

In August 2022, BARNSTABLE experienced 118 total crashes, an increase of 5.36% compared to the 112 crashes recorded in August 2021. The most significant year-over-year shift was the occurrence of one fatality in August 2022, whereas no fatalities were reported in August 2021. Total injuries also rose from 32 in August 2021 to 49 in August 2022.

118

5.4%was 112

Total Crash Events

1

Persons Killed

49

53.1%was 32

Persons Injured

4

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. 4 crashes with unreported severity are not shown in the severity breakdown.

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

Overall, crash incidents in BARNSTABLE showed an upward trend year-over-year, with total crashes increasing by 5.36% from 112 in August 2021 to 118 in August 2022. Fatalities, which were absent in August 2021, increased to one in August 2022, indicating a worsening outcome for some incidents. Injuries also saw a notable rise, increasing from 32 to 49.

4

Hit-and-Run Crashes — August 2022

0.0% vs prior (4)

The number of hit-and-run crashes remained constant at 4 incidents for both August 2021 and August 2022. However, the hit-and-run crash rate slightly decreased from 3.6% in August 2021 to 3.4% in August 2022, due to the overall increase in total crashes.

Vulnerable Road User Casualties

0

Pedestrians Killed

Prior: 00.0%

0

Cyclists Killed

Prior: 00.0%

1

Motorists Killed

Prior: 0%

0

Other Killed

Prior: 00.0%

1

Pedestrians Injured

Prior: 10.0%

1

Cyclists Injured

Prior: 0%

46

Motorists Injured

Prior: 3148.4%

1

Other Injured

Prior: 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 peak day for crashes shifted from Monday and Tuesday in August 2021, each with 21 crashes, to Wednesday in August 2022, with 21 crashes. The peak hour for crashes also changed, moving from 2 PM with 16 crashes in August 2021 to 4 PM with 16 crashes in August 2022. This suggests a slight shift in the timing of peak crash activity.

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

The fatal crash rate increased from 0% in August 2021 to 0.85% in August 2022, with one fatal crash recorded in the current period. Crashes resulting in serious, minor, or possible injuries collectively increased from 20 in August 2021 to 33 in August 2022, representing a 65% increase. The proportion of 'No Injury' crashes decreased from 78.6% to 67.8% year-over-year.

Outcome by Severity (Crash Events)

Fatal1fatal crashes0.8%
Serious Injury3serious injury crashes2.5%
0.0%prior 3
Minor Injury19minor injury crashes16.1%
90.0%prior 10
Possible Injury11possible injury crashes9.3%
57.1%prior 7
No Injury80no injury crashes67.8%
-9.1%prior 88

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

Inattention remained a leading contributing factor, increasing from 24 incidents in August 2021 to 31 in August 2022, a 29.17% rise in count. 'No improper driving' also saw an increase, from 19 to 27 incidents, a 42.11% change in count. Conversely, crashes attributed to 'Distracted' driving decreased significantly, from 8 incidents in August 2021 to 2 in August 2022, a 75% reduction in count.

Officer-Reported Primary Contributing Cause

Inattention31 (26.3%)29.2%prior 24
No improper driving27 (22.9%)42.1%prior 19
Failed to yield right of way11 (9.3%)57.1%prior 7
Followed too closely7 (5.9%)
Operating vehicle in erratic, reckless, careless, negligent or aggressive manner6 (5.1%)20.0%prior 5
Failure to keep in proper lane or running off road4 (3.4%)
Other improper action3 (2.5%)
Disregarded traffic signs, signals, road markings2 (1.7%)
Distracted2 (1.7%)-75.0%prior 8
Exceeded authorized speed limit2 (1.7%)

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

The proportion of crashes occurring in clear weather remained stable, at approximately 78% for both periods. However, crashes on wet road surfaces decreased from 11 incidents (9.82% of total) in August 2021 to 7 incidents (5.93% of total) in August 2022. Crashes occurring in daylight conditions saw a slight proportional decrease from 82.14% to 76.27%, while those in 'Dark - lighted roadway' conditions increased proportionally from 8.93% to 13.56%.

Weather

Clear92 (78.6%)
4.5%prior 88
Cloudy7 (6.0%)
-12.5%prior 8
Clear/Cloudy5 (4.3%)
Cloudy/Rain4 (3.4%)
Clear/Unknown3 (2.6%)
Cloudy/Fog, smog, smoke1 (0.9%)
Fog, smog, smoke1 (0.9%)
Rain1 (0.9%)
-80.0%prior 5
Rain/Cloudy1 (0.9%)
Cloudy/Clear1 (0.9%)

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

Lighting

Daylight90 (76.3%)
-2.2%prior 92
Dark - lighted roadway16 (13.6%)
60.0%prior 10
Dark - roadway not lighted6 (5.1%)
Dawn3 (2.5%)
Dusk3 (2.5%)

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

Road Surface

Dry109 (92.4%)
7.9%prior 101
Wet7 (5.9%)
-36.4%prior 11
Other1 (0.8%)
Water (standing, moving)1 (0.8%)

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

Vehicles & Demographics

The age distribution of persons involved in crashes showed shifts, with a decrease in the 0-15 age group from 24 to 10 persons, and significant increases in older groups: 55-64 year-olds rose from 24 to 53 persons, and 65+ year-olds increased from 37 to 53 persons. Toyota remained the top vehicle make involved in crashes, though its count decreased from 42 in August 2021 to 37 in August 2022. Chevrolet also saw a decrease in representation among top makes, from 23 to 16.

Top Vehicle Makes (218 vehicles)

1
TOYOTA37 (17%)
-11.9%prior 42
2
FORD21 (9.6%)
-25.0%prior 28
3
HONDA20 (9.2%)
-4.8%prior 21
4
CHEVROLET16 (7.3%)
-30.4%prior 23
5
JEEP14 (6.4%)
-12.5%prior 16
6
NISSAN12 (5.5%)
-29.4%prior 17
7
VOLKSWAGEN11 (5%)
8
DODGE8 (3.7%)
9
LEX6 (2.8%)
10
VOLVO5 (2.3%)

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

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

Sex Distribution (258 persons with recorded sex)

Female142 (55.0%)
23.5%prior 115
Male116 (45.0%)
-14.1%prior 135

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

Crashes occurring in 35 mph speed zones decreased from 41 in August 2021 to 25 in August 2022, while crashes in 50 mph zones increased from 1 to 5. Notably, the single fatal crash in August 2022 occurred in a 50 mph speed zone, which had no fatalities in the prior year. Crashes in 30 mph zones remained relatively stable, with 24 in August 2021 and 25 in August 2022.

Fatal crashes by zone: 50 mph: 1 of 5 (20%)

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: BARNSTABLE, MA
  • Total crash records analyzed: 118
  • Total persons involved: 287
  • Total vehicles involved: 218

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). "BARNSTABLE, 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/barnstable/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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Barnstable, MA Crash Report — August 2022 | ThatCarHitMe.com