ThatCarHitMe.com
An Injuria.ai Company
YEAR-OVER-YEAR CRASH REPORT · YARMOUTH, MA · 2022
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/2022-annual-report
Yearly Traffic Safety Analysis
562 CRASHES IN
YARMOUTH, MA
2022
In 2022, Yarmouth recorded 562 total crashes, a 14.5% increase from the 491 crashes reported in 2021. While total fatalities remained constant at two for both years, one of the most notable year-over-year shifts was a 100% increase in the count of crashes involving speeding, which doubled from 9 to 18 incidents.
562
▲ 14.5%was 491
Total Crash Events
2
Persons Killed
144
▲ 6.7%was 135
Persons Injured
27
▲ 28.6%was 21
Hit-and-Run Crashes
Note: "Persons Killed" (2) counts individual fatalities across all crash events. "Fatal" in the severity table below (2) counts crash events where at least one fatality occurred. A single crash can result in multiple fatalities. 23 crashes with unreported severity are not shown in the severity breakdown.
Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2022-01-01 to 2022-12-31 · Aggregate counts from crash, person, and vehicle records
Trend Summary
Crash trends in Yarmouth show a notable increase year-over-year. Total collisions rose from 491 in 2021 to 562 in 2022, representing a 14.5% increase. This upward trend was also reflected in total injuries, which climbed by 6.7% from 135 to 144, although total fatalities remained unchanged at two.
27
Hit-and-Run Crashes — 2022
▲ 28.6% vs prior (21)
Hit-and-run incidents in Yarmouth trended upward between 2021 and 2022. The total number of hit-and-run crashes increased from 21 to 27, a 28.6% rise in count. The hit-and-run rate, representing the proportion of all crashes that were hit-and-runs, also increased slightly from 4.3% in 2021 to 4.8% in 2022.
Vulnerable Road User Casualties
2
Pedestrians Killed
0
Cyclists Killed
0
Motorists Killed
0
Other Killed
3
Pedestrians Injured
3
Cyclists Injured
136
Motorists Injured
2
Other Injured
Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2022-01-01 to 2022-12-31 · Mode classified from person records (driver/passenger → motorist; pedestrian; bicyclist → cyclist; in-line skater / unspecified → other)
When Crashes Happen
The temporal patterns of crashes shifted between the two periods. In 2022, the peak days for crashes were Monday and Friday, each with 96 incidents, a change from 2021 when Tuesday and Saturday were the peak days with 79 crashes each. The busiest hour for collisions also shifted an hour earlier, moving from 4 p.m. in 2021 (46 crashes) to 3 p.m. in 2022 (58 crashes).
Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2022-01-01 to 2022-12-31 · Crash date field aggregated by weekday
Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2022-01-01 to 2022-12-31 · Crash time field aggregated by hour (0-23)
Crash Severity Breakdown
The severity distribution of crashes remained relatively stable year-over-year. Both 2022 and 2021 recorded 2 fatal crashes, accounting for 0.4% of all incidents in both periods. While the absolute number of crashes involving any level of injury rose from 103 to 112, their share of total crashes saw a slight decrease from 21.0% in 2021 to 19.9% in 2022. Crashes resulting in no injury increased from 356 to 425, making up 75.6% of all incidents in 2022 compared to 72.5% in the prior year.
Outcome by Severity (Crash Events)
Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2022-01-01 to 2022-12-31 · KABCO injury classification scale
Severity Distribution (Crash Events)
Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2022-01-01 to 2022-12-31 · Most severe injury per crash record
Top Contributing Factors
The primary contributing factors to crashes remained consistent across both years, with 'Inattention' being the most cited factor in both 2021 (106 incidents) and 2022 (124 incidents). The count of crashes attributed to 'Failed to yield right of way' saw a significant increase of 47.3%, rising from 55 incidents in 2021 to 81 in 2022. Similarly, the count for 'Inattention' increased by 17.0%, while the top three factor rankings were unchanged between the two periods.
Officer-Reported Primary Contributing Cause
Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2022-01-01 to 2022-12-31 · Officer-reported primary contributory cause per crash
Road & Environmental Conditions
Crash conditions remained broadly similar between 2021 and 2022, with the majority of incidents occurring in favorable conditions. In 2022, 75.3% of crashes happened during daylight, a slight increase from 71.9% in 2021. The proportion of crashes on dry road surfaces was nearly identical, at 83.1% in 2022 versus 82.9% in 2021. Similarly, clear weather was reported in 71.9% of crashes in both years, indicating no significant shift in the prevalence of adverse condition-related incidents.
Weather
Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2022-01-01 to 2022-12-31 · Weather condition at time of crash
Lighting
Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2022-01-01 to 2022-12-31 · Lighting condition field
Road Surface
Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2022-01-01 to 2022-12-31 · Road surface condition field
Vehicles & Demographics
The top three vehicle makes involved in crashes—Toyota, Ford, and Honda—remained the same in both 2021 and 2022, with their ranking unchanged. In terms of person demographics, there was a notable shift in the age distribution of individuals involved in collisions. The 65+ age group's representation grew, accounting for 21.1% of all persons in 2022 (277 individuals) compared to 17.8% in 2021 (203 individuals). Conversely, the share of persons in the 26-34 age group decreased from 17.2% to 13.1%.
Top Vehicle Makes (1,036 vehicles)
Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2022-01-01 to 2022-12-31 · Vehicle unit records
93 persons with unknown or unrecorded age excluded from age chart.
Sex Distribution (1,208 persons with recorded sex)
Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2022-01-01 to 2022-12-31 · Person-level records linked to crash events
Speed Limit Zones
Crashes increased across the most common speed zones year-over-year, with the 40 mph zone recording the highest number of incidents in both 2022 (148 crashes) and 2021 (132 crashes). The 30 mph and 35 mph zones also saw increases in collision counts. In 2022, a fatal crash was recorded in the 40 mph zone, a zone which had no fatalities in the prior year's data. Both years recorded one fatal crash each in the 30 mph speed zone.
Fatal crashes by zone: 30 mph: 1 of 130 (0.769%) · 40 mph: 1 of 148 (0.676%)
Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2022-01-01 to 2022-12-31 · 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: 2022-01-01 through 2022-12-31
- Report generated: June 21, 2026
Data Coverage
- Reporting period: 2022-01-01 through 2022-12-31 (365 days)
- Geographic scope: YARMOUTH, MA
- Total crash records analyzed: 562
- Total persons involved: 1,313
- Total vehicles involved: 1,036
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: 2022." Published June 21, 2026. Reporting period: 2022-01-01 to 2022-12-31. Data source: Massachusetts Crash Data (MassDOT CDV), Arcgis_yearly Open Data. Available at: https://thatcarhitme.com/crash-data/massachusetts/yarmouth/2022-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: 2022-01-01 – 2022-12-31
Generated: June 21, 2026 · All rights reserved