A national property database covering 155 million U.S. residential and commercial records. Each row carries owner information, assessed and market value, property characteristics (beds, baths, square footage, lot size, year built), and transaction history where available. Powers site selection, mortgage and insurance targeting, portfolio analysis, and residential market intelligence across all 50 states.
Product Answer Summary
Product category: Land-Based Data & Specialized Files
What it contains: Property address, Owner name & mailing address, Assessed and market value, Property characteristics, Transaction history
Delivery formats: CSV, TXT, Parquet
Who uses it: enterprise data buyers evaluating activation, measurement, analytics, enrichment, risk, or research workflows.
Key Features
155M U.S. records
Residential + commercial
National coverage incl. HI/MT/WI
Periodic refresh
Feed Specifications
Record scale: 155M properties
Coverage: All 50 US states
Refresh cadence: Periodic (county-driven)
Delivery formats: CSV, Parquet, S3, SFTP
How Real Estate Data Is Compiled
GSDSI's Real Estate Property Data is aggregated from county assessor and recorder offices, tax authorities, and commercial real-estate data partners. Each record carries the parcel address, legal owner name, current mailing address, assessed value and estimated market value, structural characteristics (square footage, bedrooms and bathrooms, lot size, year built, property class), and the most recent transaction date where disclosed. Commercial properties include additional firmographic attributes like NAICS category and tenancy type where observable. Records are refreshed on a periodic cadence that reflects county-level publication frequency — monthly where counties publish monthly, quarterly otherwise — so downstream users work with current ownership and valuation rather than stale rolls.
Common Applications for Property Data
Mortgage and refinance lenders use property records to pre-qualify direct-mail and digital audiences by loan-to-value band, owner tenure, and refinance propensity. Home-improvement retailers and solar/energy brands target by year-built and property type to reach homes in specific renovation windows. Insurance carriers use structural characteristics and assessed value to segment homeowner, renter, and commercial-line prospects and to enrich underwriting files. Real-estate investment firms combine property records with foot-traffic and mobility data to score acquisition candidates, evaluate trade areas, and monitor portfolio performance. Municipal and academic researchers use property data for housing-market research, displacement studies, and economic-indicator reporting.
How buyers diligence property data
Property-data diligence depends on county refresh lag, ownership normalization, parcel matching, and field completeness in the buyer’s actual states and counties.
Product-specific diligence checks
Review county freshness, assessor/recorder lag, and transaction dates.
Validate owner, mailing address, parcel, class, and valuation completeness.
Test commercial and residential coverage separately.
Confirm append, site-selection, mortgage, or insurance workflow fit.