CPSC publishes recall frequency, affected units, and completion rates by product category. Combine that with manufacturer registration data, and you have an underwriting framework.
The CPSC publishes detailed data on every consumer product recall: product category, hazard type, number of units affected, injury reports, and recall completion rates. This data is publicly available and provides the foundational category-level risk inputs for recall insurance underwriting.
Underwriters can use CPSC data to benchmark recall frequency by product category, assess typical recall severity in terms of units affected and injury reports, and understand historical completion rates. This category-level data is the starting point for pricing. But it's only the starting point.
CPSC data is category-level. It tells you that baby products have a certain recall frequency and that the average recall completion rate for children's products is 3.96%. It doesn't tell you whether Manufacturer A or Manufacturer B in that category is better prepared for a recall. Both get priced similarly despite potentially very different recall readiness levels.
This is where registration data becomes essential. A manufacturer's registration rate is a manufacturer-level metric that predicts how their specific recall will unfold. Combined with CPSC category data, it creates a two-dimensional underwriting framework: category risk (from CPSC) plus manufacturer readiness (from registration data).
CPSC data tells you how often recalls happen. Registration data tells you how they'll turn out.
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The underwriting framework combines two data sources. The X axis is category risk, derived from CPSC recall frequency, severity, and hazard data. The Y axis is manufacturer readiness, derived from registration rate, notification capability, and recall management platform availability.
A manufacturer in a high-frequency recall category but with high registration rates and strong recall capability presents a different risk than one in the same category with no registration. The first will resolve recalls faster, cheaper, and with fewer injuries. The second will follow the industry average. Pricing should reflect that difference.
One dimension comes from CPSC. The other comes from registration. You need both.
Implementation is practical. CPSC data is freely available and can be compiled into category-level benchmarks for your rating model. Registration data comes from the manufacturer's application. The combination requires no new data infrastructure, just a willingness to ask the right questions and weight the answers appropriately.
Over time, as you collect outcome data from recalls within your book, you can validate the framework. Track whether manufacturers with higher registration rates actually resolve recalls faster and cheaper. If they do (and the logic strongly suggests they will), you have empirical validation for formal model integration.
CPSC data compiled into recall frequency, severity, and completion rate benchmarks by product category for the X axis of your rating framework.
Registration rate, notification channels, and recall platform capability scored as the Y axis for individual manufacturer risk differentiation.
Track actual recall outcomes against predicted readiness to validate and refine the two-dimensional framework over time.
CPSC data gives you the category. Registration gives you the manufacturer. Together, they give you accurate pricing.
Connect →U.S. Consumer Product Safety Commission. (2023). CPSC Annual Report on Recall Effectiveness.
U.S. Consumer Product Safety Commission. Recalls.gov Database. cpsc.gov.
University of Michigan Transportation Research Institute. (2015). UMTRI-2015-26: Consumer Product Registration Study.