ThatCarHitMe.com
An Injuria.ai Company
YEAR-OVER-YEAR CRASH REPORT · FALMOUTH, MA · 2025
Purpose: Machine-readable JSON endpoint for AI agents, LLMs, researchers, and programmatic consumers. Returns all underlying crash data and AI-generated commentary without HTML.
Authentication: None required. Public endpoint.
GET: https://thatcarhitme.com/api/crash-data/reports/data/massachusetts/falmouth/2025-annual-report
Yearly Traffic Safety Analysis
536 CRASHES IN
FALMOUTH, MA
2025
In 2025, Falmouth recorded 536 total vehicle crashes, a 22.9% decrease from the 695 crashes reported in 2024. Despite the overall reduction in collisions, the number of fatalities increased significantly, rising from 1 in 2024 to 5 in 2025. This increase in fatalities occurred alongside a 21.5% decrease in the total number of people injured.
536
▼ -22.9%was 695
Total Crash Events
5
▲ 400.0%was 1
Persons Killed
146
▼ -21.5%was 186
Persons Injured
46
▼ -17.9%was 56
Hit-and-Run Crashes
Note: "Persons Killed" (5) counts individual fatalities across all crash events. "Fatal" in the severity table below (5) counts crash events where at least one fatality occurred. A single crash can result in multiple fatalities. 12 crashes with unreported severity are not shown in the severity breakdown.
Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2025-01-01 to 2025-12-31 · Aggregate counts from crash, person, and vehicle records
Trend Summary
The overall trend in Falmouth shows a significant year-over-year decrease in the total number of crashes, falling by 22.9% from 695 in 2024 to 536 in 2025. Similarly, the number of people injured in these incidents declined by 21.5%. However, this trend in volume did not extend to the most severe outcomes, as total fatalities increased from 1 to 5 during the same period.
46
Hit-and-Run Crashes — 2025
▼ -17.9% vs prior (56)
The total number of hit-and-run crashes in Falmouth decreased from 56 in 2024 to 46 in 2025, a reduction of 17.9%. Despite this drop in the absolute count, the hit-and-run rate as a proportion of all crashes saw a slight increase. Hit-and-runs accounted for 8.6% of all crashes in 2025, up from 8.1% in the prior year.
Vulnerable Road User Casualties
1
Pedestrians Killed
0
Cyclists Killed
4
Motorists Killed
0
Other Killed
6
Pedestrians Injured
12
Cyclists Injured
127
Motorists Injured
1
Other Injured
Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2025-01-01 to 2025-12-31 · Mode classified from person records (driver/passenger → motorist; pedestrian; bicyclist → cyclist; in-line skater / unspecified → other)
When Crashes Happen
The temporal patterns of crashes in Falmouth showed some shifts between 2024 and 2025. While Friday remained the peak day for crashes in both years, the count on Fridays decreased from 121 to 95. The peak hour for collisions shifted two hours earlier, from the 3 p.m. hour in 2024 (67 crashes) to the 1 p.m. hour in 2025 (58 crashes).
Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2025-01-01 to 2025-12-31 · Crash date field aggregated by weekday
Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2025-01-01 to 2025-12-31 · Crash time field aggregated by hour (0-23)
Crash Severity Breakdown
While total crashes decreased, the severity of crashes in Falmouth increased year-over-year. The fatal crash rate rose from 0.14% in 2024 to 0.93% in 2025, with fatal crashes accounting for 0.9% of all incidents compared to just 0.1% the prior year. The proportion of serious injury crashes decreased from 2.0% to 1.5%, while minor injury crashes represented a slightly larger share of the total, increasing from 14.8% to 15.3%.
Outcome by Severity (Crash Events)
Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2025-01-01 to 2025-12-31 · KABCO injury classification scale
Severity Distribution (Crash Events)
Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2025-01-01 to 2025-12-31 · Most severe injury per crash record
Top Contributing Factors
The primary contributing factors for crashes in Falmouth shifted between 2024 and 2025. 'Failed to yield right of way' became the top factor, with the count of related crashes increasing by 48.1% from 81 to 120. Conversely, crashes attributed to 'Inattention,' the leading factor in 2024, decreased by 52.7% in count, falling from 169 to 80. Crashes involving 'No improper driving' also saw a reduction in count from 156 to 89.
Officer-Reported Primary Contributing Cause
Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2025-01-01 to 2025-12-31 · Officer-reported primary contributory cause per crash
Road & Environmental Conditions
Crash conditions remained largely consistent year-over-year, with the majority of incidents in both periods occurring during daylight hours (73.7% in 2025 vs. 74.5% in 2024) and on dry roads (81.7% in 2025 vs. 84.5% in 2024). Crashes in clear weather accounted for a stable proportion of the total, at 75.2% in 2025 compared to 74.5% in 2024. There was a minor increase in the share of crashes occurring on dark, unlighted roadways, which rose from 6.9% to 8.2% of all crashes.
Weather
Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2025-01-01 to 2025-12-31 · Weather condition at time of crash
Lighting
Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2025-01-01 to 2025-12-31 · Lighting condition field
Road Surface
Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2025-01-01 to 2025-12-31 · Road surface condition field
Vehicles & Demographics
The top three vehicle makes involved in crashes—Toyota, Ford, and Honda—remained unchanged between 2024 and 2025, with the count for each make decreasing in line with the overall drop in collisions. The demographic profile of individuals involved in crashes also showed consistency. The 65+ age group represented the largest share of persons in both periods, accounting for 22.0% in 2025 compared to 21.7% in 2024.
Top Vehicle Makes (942 vehicles)
Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2025-01-01 to 2025-12-31 · Vehicle unit records
63 persons with unknown or unrecorded age excluded from age chart.
Sex Distribution (1,122 persons with recorded sex)
Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2025-01-01 to 2025-12-31 · Person-level records linked to crash events
Speed Limit Zones
The distribution of crashes across speed zones was relatively stable, with 35 mph zones hosting the most crashes in both years (165 in 2025 vs. 168 in 2024). A significant shift occurred in the location of fatal crashes. In 2025, all five fatal crashes happened in zones with speed limits of 35 mph or higher. This contrasts with 2024, where the sole fatal crash occurred in a 25 mph zone.
Fatal crashes by zone: 35 mph: 2 of 165 (1.212%) · 40 mph: 1 of 67 (1.493%) · 45 mph: 1 of 11 (9.091%) · 55 mph: 1 of 15 (6.667%)
Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2025-01-01 to 2025-12-31 · 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: 2025-01-01 through 2025-12-31
- Report generated: June 21, 2026
Data Coverage
- Reporting period: 2025-01-01 through 2025-12-31 (365 days)
- Geographic scope: FALMOUTH, MA
- Total crash records analyzed: 536
- Total persons involved: 1,193
- Total vehicles involved: 942
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: 2025." Published June 21, 2026. Reporting period: 2025-01-01 to 2025-12-31. Data source: Massachusetts Crash Data (MassDOT CDV), Arcgis_yearly Open Data. Available at: https://thatcarhitme.com/crash-data/massachusetts/falmouth/2025-annual-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
ThatCarHitMe.com · An Injuria.ai Company
ThatCarHitMe.com
An Injuria.ai Company
Crash Data Intelligence
Data: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly
Period: 2025-01-01 – 2025-12-31
Generated: June 21, 2026 · All rights reserved