U.S. ZIP Code Demographics with Metadata and Geometry
ZIP-level demographic and geography enrichment for market sizing, customer segmentation, site selection, lending, insurance, and real estate analytics.
Population and Household Signals
Analyze ZIP markets with resident, household, and socioeconomic context.
Market Segmentation
Attach demographic attributes to internal customers, facilities, branches, or territories.
Geography Included
Pair demographic measures with ZIP metadata, CBSA, county, timezone, lat/lng, and geometry fields.
Warehouse Native
Skip file transfers and query the enrichment table directly from Snowflake.
Schema preview
What is included
Use these fields as a starting point for Snowflake joins, BI models, lead scoring, underwriting, site selection, or custom data products.
Population and Households
- Population counts
- Household counts
- Household composition
- Density and market sizing fields
Income and Economics
- Household income measures
- Employment and labor indicators
- Poverty and affordability context
- Consumer-market signals
Housing and Tenure
- Owner and renter occupancy
- Housing unit counts
- Homeownership context
- Residential market indicators
Geographic Metadata
- ZIP / ZCTA identity
- County and CBSA mapping
- Timezone
- Latitude, longitude, and geometry
Where teams use this data
These datasets are built for warehouse-native workflows where geography, market context, and property signals need to join cleanly to your existing data.
Site Selection
Rank ZIP codes around stores, facilities, or service areas by demographic and market fit.
Lending and Insurance Models
Attach local demographic and housing context to underwriting, pricing, and risk workflows.
Customer Segmentation
Enrich first-party data with ZIP-level population, income, household, and housing attributes.
Snowflake + SFR Analytics
Need a custom data package?
Use Snowflake Marketplace for self-serve warehouse access. For custom geographies, enriched fields, API access, flat files, private listings, or other real estate datasets, start with the product catalog or request a scoped package.
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