ThatCarHitMe.com
An Injuria.ai Company
YEAR-OVER-YEAR CRASH REPORT · WALPOLE, 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/walpole/2022-annual-report
Yearly Traffic Safety Analysis
371 CRASHES IN
WALPOLE, MA
2022
In 2022, Walpole recorded 371 total traffic crashes, a figure nearly identical to the 372 crashes reported in 2021, representing a 0.3% decrease. While the overall crash volume remained stable, the number of reported hit-and-run incidents more than doubled, increasing from 5 in 2021 to 11 in 2022. Concurrently, total injuries fell by 21.3% from 108 to 85, though fatalities rose from one to two.
371
▼ -0.3%was 372
Total Crash Events
2
▲ 100.0%was 1
Persons Killed
85
▼ -21.3%was 108
Persons Injured
11
▲ 120.0%was 5
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. 1 crash with unreported severity is 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
Year-over-year crash data for Walpole indicates a stable trend in the total number of incidents, with 371 crashes in 2022 compared to 372 in 2021. However, the outcomes of these crashes shifted, as total injuries saw a significant decrease of 21.3%, falling from 108 to 85. In contrast, the number of fatalities increased from one in 2021 to two in 2022.
11
Hit-and-Run Crashes — 2022
▲ 120.0% vs prior (5)
Hit-and-run crashes showed a significant upward trend. The number of hit-and-run incidents increased by 120%, rising from 5 in 2021 to 11 in 2022. Consequently, the hit-and-run rate, as a percentage of all crashes, more than doubled from 1.3% in the prior year to 3.0% in the current year.
Vulnerable Road User Casualties
1
Pedestrians Killed
1
Motorists Killed
5
Pedestrians Injured
80
Motorists 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 showed both consistency and change between the two years. Thursday remained the peak day for crashes in both 2022 (65 crashes) and 2021 (74 crashes). However, the peak hour for incidents shifted from the 2 p.m. hour in 2021, which saw 42 crashes, to the 5 p.m. hour in 2022, which recorded 38 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
Crash severity outcomes changed notably year-over-year. The number of fatal crashes doubled from one in 2021 to two in 2022, causing the fatal crash rate to increase from 0.27% to 0.54%. Despite this, the overall proportion of crashes resulting in any level of injury (serious, minor, or possible) decreased from 22.3% in 2021 to 17.5% in 2022, driven by a reduction in minor and possible injury crashes.
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 remained consistent between periods: 'No improper driving' (101 incidents in both years), 'Failed to yield right of way', and 'Inattention'. However, the count of crashes attributed to 'Failed to yield right of way' decreased by 20.4%, from 49 to 39 incidents. Conversely, incidents involving 'Driving too fast for conditions' more than tripled, increasing from 3 in 2021 to 10 in 2022.
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
The distribution of crashes across environmental conditions remained largely stable year-over-year. The majority of collisions in both 2022 (78.2%) and 2021 (81.2%) occurred on dry road surfaces. There was a slight increase in the number of crashes on wet roads, which rose from 39 incidents in 2021 to 47 in 2022. Similarly, crashes during daylight conditions represented the largest share in both years, accounting for 68.5% of crashes in 2022 and 71.2% in 2021.
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—were identical in both 2022 and 2021. The number of Toyotas involved increased from 109 to 117, while Fords held steady at 86. A notable shift occurred in the age demographics of persons involved in crashes; the share of individuals in the 16-20 age group decreased from 17.9% in 2021 to 12.9% in 2022, while the 55-64 age group's share increased from 11.7% to 13.8%.
Top Vehicle Makes (667 vehicles)
Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2022-01-01 to 2022-12-31 · Vehicle unit records
28 persons with unknown or unrecorded age excluded from age chart.
Sex Distribution (800 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 noticeable shift in the speed zones where crashes occurred. Collisions in 30 mph zones increased from 136 in 2021 to 151 in 2022, while crashes in 35 mph zones decreased from 92 to 64. In 2021, the single fatal crash occurred in a 35 mph zone. In 2022, one fatal crash occurred in a 35 mph zone and a second occurred in a 65 mph zone.
Fatal crashes by zone: 35 mph: 1 of 64 (1.563%) · 65 mph: 1 of 27 (3.704%)
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: WALPOLE, MA
- Total crash records analyzed: 371
- Total persons involved: 834
- Total vehicles involved: 667
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). "WALPOLE, 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/walpole/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