Monthly Traffic Safety Analysis

80 CRASHES IN
FALMOUTH, MA
JULY 2022

All metrics benchmarked againstJuly 2021

In Falmouth, MA, total crashes decreased significantly by 38.93%, from 131 in July 2021 to 80 in July 2022. Total injuries also fell by 30%, from 40 to 28 over the same period. The most notable shift was the substantial reduction in the overall number of reported crashes.

80

-38.9%was 131

Total Crash Events

0

Persons Killed

28

-30.0%was 40

Persons Injured

2

-86.7%was 15

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. 3 crashes with unreported severity are 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

Crashes in Falmouth, MA, experienced a notable decline year-over-year. Total crashes decreased by 38.93%, from 131 in July 2021 to 80 in July 2022. This reduction also corresponded with a 30% decrease in total injuries, falling from 40 to 28.

2

Hit-and-Run Crashes — July 2022

-86.7% vs prior (15)

Hit-and-run crashes decreased significantly from 15 incidents in July 2021 to 2 incidents in July 2022. This led to a substantial reduction in the hit-and-run rate, which fell from 11.5% of total crashes in July 2021 to 2.5% in July 2022. The trend for hit-and-run incidents is clearly downwards.

Vulnerable Road User Casualties

0

Pedestrians Killed

Prior: 00.0%

0

Motorists Killed

Prior: 00.0%

1

Pedestrians Injured

Prior: 10.0%

27

Motorists Injured

Prior: 36-25.0%

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 peak day for crashes shifted from Thursday in July 2021 (30 crashes) to both Tuesday and Friday in July 2022 (16 crashes each). The peak hour also changed, moving from 4 p.m. with 16 crashes in July 2021 to 12 p.m. with 13 crashes in July 2022. Overall, crash counts decreased across most days and hours year-over-year.

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

Falmouth, MA reported no fatalities in either July 2021 or July 2022. In July 2022, there was 1 serious injury crash (1.3% of total crashes), whereas July 2021 reported 0 serious injury crashes. Minor injury crashes decreased from 21 (16% of crashes) in July 2021 to 15 (18.8% of crashes) in July 2022, while possible injury crashes fell from 9 (6.9%) to 2 (2.5%).

Outcome by Severity (Crash Events)

Serious Injury1serious injury crashes1.3%
Minor Injury15minor injury crashes18.8%
-28.6%prior 21
Possible Injury2possible injury crashes2.5%
-77.8%prior 9
No Injury59no injury crashes73.8%
-34.4%prior 90

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

Inattention remained the leading contributing factor, though its count decreased from 43 in July 2021 to 21 in July 2022, representing a 51.16% reduction. No improper driving also saw a 45.45% decrease in count, from 22 to 12. Conversely, Failure to keep in proper lane or running off road increased in count from 3 in July 2021 to 4 in July 2022. Additionally, Swerving or avoiding due to wind, slippery surface, vehicle, object, vulnerable user in roadway was a factor in 4 crashes in July 2022, but was not present in the top factors for July 2021.

Officer-Reported Primary Contributing Cause

Inattention21 (26.3%)-51.2%prior 43
No improper driving12 (15%)-45.5%prior 22
Failed to yield right of way12 (15%)-36.8%prior 19
Followed too closely9 (11.3%)-35.7%prior 14
Operating vehicle in erratic, reckless, careless, negligent or aggressive manner5 (6.3%)0.0%prior 5
Swerving or avoiding due to wind, slippery surface, vehicle, object, vulnerable user in roadway4 (5%)
Failure to keep in proper lane or running off road4 (5%)
Made an improper turn2 (2.5%)
Operating defective equipment1 (1.3%)
Distracted1 (1.3%)

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

The proportion of crashes occurring in Clear weather conditions increased from 74% (97 crashes) in July 2021 to 90% (72 crashes) in July 2022. Correspondingly, crashes on Dry road surfaces rose from 90.1% (118 crashes) to 97.5% (78 crashes). Notably, Rain weather conditions were associated with 7 crashes in July 2021 but none in July 2022, and Wet road surfaces decreased from 12 crashes to 0.

Weather

Clear72 (90.0%)
-25.8%prior 97
Cloudy4 (5.0%)
-75.0%prior 16
Clear/Other3 (3.8%)
Clear/Unknown1 (1.3%)

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

Lighting

Daylight65 (81.3%)
-41.4%prior 111
Dark - lighted roadway8 (10.0%)
-33.3%prior 12
Dark - roadway not lighted4 (5.0%)
Dusk3 (3.8%)

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

Road Surface

Dry78 (97.5%)
-33.9%prior 118
Sand, mud, dirt, oil, gravel2 (2.5%)

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

Vehicles & Demographics

The total number of vehicles involved in crashes decreased from 243 in July 2021 to 146 in July 2022. The leading vehicle make involved shifted from Toyota (46 vehicles) in July 2021 to Ford (18 vehicles) in July 2022. All age groups saw a decrease in the number of persons involved in crashes, with the exception of the 45-54 age group, which saw an increase from 20 to 24 persons.

Top Vehicle Makes (146 vehicles)

1
FORD18 (12.3%)
-10.0%prior 20
2
TOYOTA15 (10.3%)
-67.4%prior 46
3
CHEVROLET14 (9.6%)
-26.3%prior 19
4
HONDA11 (7.5%)
-26.7%prior 15
5
NISSAN9 (6.2%)
-18.2%prior 11
6
BMW6 (4.1%)
0.0%prior 6
7
KIA5 (3.4%)
-16.7%prior 6
8
LEXUS5 (3.4%)
-28.6%prior 7
9
DODGE4 (2.7%)
10
JEEP4 (2.7%)
-84.6%prior 26

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

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

Sex Distribution (180 persons with recorded sex)

Male91 (50.6%)
-38.9%prior 149
Female89 (49.4%)
-25.2%prior 119

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

No fatal crashes were reported in any speed limit zone during either period. Crashes occurring in 30 mph zones decreased from 38 in July 2021 to 22 in July 2022. Similarly, crashes in 35 mph zones saw a slight decrease from 29 to 27 year-over-year. The distribution of crashes across other speed zones also generally decreased in count.

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: FALMOUTH, MA
  • Total crash records analyzed: 80
  • Total persons involved: 194
  • Total vehicles involved: 146

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). "FALMOUTH, 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/falmouth/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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Falmouth, MA Crash Report — July 2022 | ThatCarHitMe.com