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EQECAT Model Submission - Florida State Board of Administration

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The <strong>Florida</strong> Commission on Hurricane Loss Projection MethodologyGeneral StandardsG-3 Risk LocationA. ZIP Codes used in the model shall not differ from the United <strong>State</strong>sPostal Service publication date by more than 24 months at the date <strong>of</strong>submission <strong>of</strong> the model. ZIP Code information shall originate from theUnited <strong>State</strong>s Postal Service.The USWIND ZIP Code database was updated in October 2012, based oninformation originating from the United <strong>State</strong>s Postal Service current as <strong>of</strong>March 2012.B. ZIP Code centroids, when used in the model, shall be based onpopulation data.The ZIP Code centroids used in USWIND are derived using population.DisclosuresC. ZIP Code information purchased by the modeling organization shall beverified by the modeling organization for accuracy and appropriateness.<strong>EQECAT</strong> verifies each new ZIP Code database through a suite <strong>of</strong> procedures,including automated numeric tests and visual tests.1. List the current ZIP Code databases used by the model and the components <strong>of</strong> themodel to which they relate. Provide the effective (<strong>of</strong>ficial United <strong>State</strong>s PostalService) date corresponding to the ZIP Code databases.USWIND uses 5-Digit ZIP Code from MultiNet data. MultiNet is a registeredtrademark <strong>of</strong> TomTom. The ZIP Code data is created using a combination <strong>of</strong>MulitNet data, the United <strong>State</strong>s Postal Service (USPS) ZIP+4 Data File, theUSPS National 5-Digit ZIP Code and Post Office Directory, USPS ZIP+4<strong>State</strong> Directories, and the USPS City <strong>State</strong> File.The ZIP Code data is used in the import component <strong>of</strong> the model.The effective date <strong>of</strong> the ZIP Code data is March 2012.2. Describe in detail how invalid ZIP Codes are handled.Invalid ZIP Codes in input data are generated from many sources, including(a) typographical errors in the insurers’ data, (b) usage <strong>of</strong> mailing addressinstead <strong>of</strong> site address, or (c) usage <strong>of</strong> an out <strong>of</strong> date ZIP Code. TheUSWIND program attempts to locate any invalid sites to the most refined levelpossible, the data quality permitting. At the end <strong>of</strong> the ‘geocoding’ process,USWIND echoes the status <strong>of</strong> the quality <strong>of</strong> the data, indicating how many42

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