Tier 1
Mortgage & Real Estate Underwriting Pack
469 households with full mortgage and real estate profiles for underwriting model testing.
Overview
Mortgage underwriting models require diverse, realistic household data that captures the full range of borrower profiles, property types, and credit scenarios. This dataset provides 469 households with detailed mortgage portfolios including purchase and refinance scenarios, property valuations, LTV and DTI calculations, PMI scenarios, and real estate stress events. Includes first-time buyers, investment property owners, and cash-out refinance cases.
What's Inside
469 households with full mortgage and real estate asset profiles
LTV ratios, DTI calculations, and PMI scenarios across credit tiers
Purchase, refinance, and cash-out refinance scenarios
Investment property and second home ownership cases
Real estate stress events: underwater mortgages, forbearance, short sale
96-month longitudinal sequences with property value trajectories
Use Cases
Mortgage underwriting model training and validation
LTV/DTI calculation engine QA
Real estate lending platform stress testing
Credit risk model development
Ideal Buyers
Mortgage lendersReal estate fintech platformsCredit risk model vendorsGSE technology teams
Example firms: Rocket Mortgage, United Wholesale Mortgage, Blend, Encompass, Fannie Mae technology teams
Tags
MortgageReal EstateUnderwritingLTVDTI
Low Deviation from Base Corpus
Requires light re-tagging and documentation. Available within 1–2 weeks of order.
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