ThatCarHitMe.com
An Injuria.ai Company
YEAR-OVER-YEAR CRASH REPORT · BARNSTABLE, 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/barnstable/2022-annual-report
Yearly Traffic Safety Analysis
1,209 CRASHES IN
BARNSTABLE, MA
2022
In Barnstable, total traffic crashes increased by 12.5% from 1,075 in 2021 to 1,209 in 2022. This period also saw a significant rise in traffic fatalities, which increased from 1 to 5. The most notable shift was in hit-and-run incidents, where the number of crashes more than doubled from 22 to 52.
1,209
▲ 12.5%was 1,075
Total Crash Events
5
▲ 400.0%was 1
Persons Killed
397
▲ 12.8%was 352
Persons Injured
52
▲ 136.4%was 22
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. 46 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
Overall traffic safety trends in Barnstable worsened year-over-year. The total number of crashes rose by 134 incidents, from 1,075 to 1,209. Correspondingly, the number of people injured increased from 352 to 397, while fatalities rose from 1 to 5.
52
Hit-and-Run Crashes — 2022
▲ 136.4% vs prior (22)
Hit-and-run crashes increased substantially between the two periods. The total count of hit-and-run incidents rose from 22 in 2021 to 52 in 2022, a 136% increase. Consequently, the hit-and-run rate, which measures the proportion of all crashes that are hit-and-runs, more than doubled from 2.0% to 4.3%.
Vulnerable Road User Casualties
0
Pedestrians Killed
0
Cyclists Killed
5
Motorists Killed
0
Other Killed
23
Pedestrians Injured
14
Cyclists Injured
359
Motorists Injured
1
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 timing of crashes showed some shifts between the two periods. While the peak hour for collisions remained the 4 p.m. hour in both years (110 crashes in 2021 vs. 112 in 2022), the peak day shifted from Friday (183 crashes) in the prior year to Thursday (204 crashes) in the current year. The month with the highest crash volume also changed, moving from June (114 crashes) in 2021 to December (134 crashes) in 2022.
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
Crash severity increased from the prior year to the current year. The number of fatal crashes rose from 1 to 5, and the total number of persons killed increased from 1 to 5. The share of crashes resulting in any level of injury (Serious, Minor, or Possible) increased slightly from 23.8% of all crashes in 2021 to 24.7% in 2022, while no-injury crashes decreased as a proportion of the total, from 74.4% to 71.1%.
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 top three contributing factors cited in crashes remained consistent across both years: 'No improper driving,' 'Inattention,' and 'Failed to yield right of way.' The count of crashes attributed to 'No improper driving' grew from 212 to 273, a 28.8% increase in count. Crashes involving 'Inattention' rose from 209 to 221 (+5.7% in count), and those involving 'Failed to yield right of way' increased from 107 to 129 (+20.6% in count).
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 year-over-year, with most incidents occurring in clear weather on dry roads during daylight hours. In 2022, 70.9% of crashes happened in daylight, a slight decrease from 73.2% in 2021. The proportion of crashes on dry road surfaces was stable at 80.1% in 2021 and 81.6% in 2022. Similarly, clear weather was reported in 69.0% of crashes in 2021 and 70.7% in 2022.
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 were Toyota, Ford, and Honda in both years, with their involvement counts increasing in line with the overall rise in crashes. Analysis of persons involved by age shows the largest year-over-year increases in the 55-64 age group, whose count rose from 315 to 399 (+26.7%), and the 21-25 age group, which grew from 221 to 274 (+24.0%). Conversely, the number of persons in the 16-20 age group decreased from 246 to 237.
Top Vehicle Makes (2,253 vehicles)
Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2022-01-01 to 2022-12-31 · Vehicle unit records
161 persons with unknown or unrecorded age excluded from age chart.
Sex Distribution (2,578 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
There was a shift in where crashes occurred relative to posted speed limits. Crashes in 30 mph zones increased significantly, from 245 incidents in 2021 to 306 in 2022. In contrast, crashes in 35 mph zones decreased from 303 to 282. The prior year's single fatality occurred in a 35 mph zone, while the current year's five fatalities were distributed across 30, 35, 40, and 50 mph zones.
Fatal crashes by zone: 30 mph: 2 of 306 (0.654%) · 35 mph: 1 of 282 (0.355%) · 40 mph: 1 of 48 (2.083%) · 50 mph: 1 of 32 (3.125%)
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: BARNSTABLE, MA
- Total crash records analyzed: 1,209
- Total persons involved: 2,789
- Total vehicles involved: 2,253
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: 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/barnstable/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