ThatCarHitMe.com
An Injuria.ai Company
YEAR-OVER-YEAR CRASH REPORT · YARMOUTH, MA · 2023
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/yarmouth/2023-annual-report
Yearly Traffic Safety Analysis
570 CRASHES IN
YARMOUTH, MA
2023
In 2023, Yarmouth recorded 570 total crashes, a 1.4% increase from the 562 crashes reported in 2022. While total collisions remained relatively stable, the number of people injured in these incidents rose significantly, increasing 36.8% from 144 in 2022 to 197 in 2023. Fatalities decreased from two in the prior year to one in the current year.
570
▲ 1.4%was 562
Total Crash Events
1
▼ -50.0%was 2
Persons Killed
197
▲ 36.8%was 144
Persons Injured
43
▲ 59.3%was 27
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. 26 crashes with unreported severity are not shown in the severity breakdown.
Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2023-01-01 to 2023-12-31 · Aggregate counts from crash, person, and vehicle records
Trend Summary
Overall crash volume in Yarmouth saw a slight increase of 1.4% from 2022 to 2023, rising from 562 to 570 incidents. Despite this modest rise in total crashes, the number of resulting injuries grew substantially by 36.8%, from 144 to 197. Conversely, the number of fatalities fell from two in 2022 to one in 2023.
43
Hit-and-Run Crashes — 2023
▲ 59.3% vs prior (27)
Hit-and-run incidents in Yarmouth showed a significant upward trend from 2022 to 2023. The total number of hit-and-run crashes increased by 59.3%, rising from 27 to 43. As a proportion of all crashes, the hit-and-run rate also increased, climbing from 4.8% in 2022 to 7.5% in 2023.
Vulnerable Road User Casualties
0
Pedestrians Killed
0
Cyclists Killed
1
Motorists Killed
5
Pedestrians Injured
15
Cyclists Injured
177
Motorists Injured
Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2023-01-01 to 2023-12-31 · 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 Yarmouth showed some shifts between 2022 and 2023. While Friday remained the peak day for crashes in both years (96 in 2022, 101 in 2023), the peak hour shifted from 3 PM in 2022 (58 crashes) to 4 PM in 2023 (66 crashes). Notably, Thursday saw a significant increase in crashes, rising from 62 in 2022 to 88 in 2023, while Monday crashes decreased from 96 to 87.
Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2023-01-01 to 2023-12-31 · Crash date field aggregated by weekday
Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2023-01-01 to 2023-12-31 · Crash time field aggregated by hour (0-23)
Crash Severity Breakdown
The severity of crashes shifted year-over-year, with a higher proportion of incidents resulting in injury in 2023. The percentage of crashes involving an injury (Serious, Minor, or Possible) rose from 19.9% in 2022 to 25.1% in 2023. This was driven by increases in both Serious Injury crashes (from 10 to 14) and Minor Injury crashes (from 63 to 93). Conversely, the number of fatal crashes halved from two in 2022 to one in 2023, and the fatal crash rate dropped from 0.4% to 0.2%.
Outcome by Severity (Crash Events)
Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2023-01-01 to 2023-12-31 · KABCO injury classification scale
Severity Distribution (Crash Events)
Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2023-01-01 to 2023-12-31 · Most severe injury per crash record
Top Contributing Factors
The leading contributing factors for crashes in Yarmouth were consistent year-over-year, with "Inattention," "No improper driving," and "Failed to yield right of way" ranking as the top three in both 2022 and 2023. However, the count for "Inattention" dropped from 124 to 115, and "Failed to yield right of way" decreased from 81 to 60 incidents. In contrast, crashes attributed to "Failure to keep in proper lane or running off road" increased from 16 in 2022 to 30 in 2023.
Officer-Reported Primary Contributing Cause
Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2023-01-01 to 2023-12-31 · Officer-reported primary contributory cause per crash
Road & Environmental Conditions
The environmental conditions under which crashes occurred remained largely stable between 2022 and 2023. In both years, the vast majority of crashes happened in clear weather (71.9% in 2022 vs. 72.5% in 2023) and on dry road surfaces (83.1% vs. 83.9%). There was a minor shift in lighting conditions, with the proportion of crashes in daylight decreasing slightly from 75.3% to 71.6%, while crashes in dark conditions increased from a combined 19.0% to 21.9% of all incidents.
Weather
Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2023-01-01 to 2023-12-31 · Weather condition at time of crash
Lighting
Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2023-01-01 to 2023-12-31 · Lighting condition field
Road Surface
Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2023-01-01 to 2023-12-31 · Road surface condition field
Vehicles & Demographics
The top vehicle makes involved in crashes were consistent, with Toyota (185 in 2023 vs. 186 in 2022) and Ford (137 vs. 141) being the most common in both periods. Chevrolet saw a notable increase in involvement, moving from the fourth to the third most common make with its count rising from 71 to 104. Regarding persons involved, the 65+ age group was the largest demographic in both years, though their numbers decreased from 277 to 245. Conversely, involvement for the 26-34 age group increased from 172 to 194 persons.
Top Vehicle Makes (1,031 vehicles)
Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2023-01-01 to 2023-12-31 · Vehicle unit records
103 persons with unknown or unrecorded age excluded from age chart.
Sex Distribution (1,173 persons with recorded sex)
Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2023-01-01 to 2023-12-31 · Person-level records linked to crash events
Speed Limit Zones
The distribution of crashes across speed zones shifted between 2022 and 2023. Crashes in 40 mph zones saw a notable increase from 148 to 190, making it the most frequent zone for incidents in 2023. Conversely, crashes in 30 mph zones decreased from 130 to 96. The single fatal crash in 2023 occurred in a 55 mph zone, whereas the two fatal crashes in 2022 happened in 30 mph and 40 mph zones.
Fatal crashes by zone: 55 mph: 1 of 52 (1.923%)
Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2023-01-01 to 2023-12-31 · 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: 2023-01-01 through 2023-12-31
- Report generated: June 21, 2026
Data Coverage
- Reporting period: 2023-01-01 through 2023-12-31 (365 days)
- Geographic scope: YARMOUTH, MA
- Total crash records analyzed: 570
- Total persons involved: 1,280
- Total vehicles involved: 1,031
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). "YARMOUTH, MA Crash Intelligence Report: 2023." Published June 21, 2026. Reporting period: 2023-01-01 to 2023-12-31. Data source: Massachusetts Crash Data (MassDOT CDV), Arcgis_yearly Open Data. Available at: https://thatcarhitme.com/crash-data/massachusetts/yarmouth/2023-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: 2023-01-01 – 2023-12-31
Generated: June 21, 2026 · All rights reserved