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ZIP Code Demographics for Snowflake

ZIP-level demographic and geography enrichment for market sizing, customer segmentation, site selection, lending, insurance, and real estate analytics.

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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.

Illustrative SQL

Snowflake

select
  d.zip_code,
  d.population,
  d.households,
  d.median_household_income,
  d.owner_occupied_units,
  d.renter_occupied_units,
  d.cbsa_name
from zip_code_demographics.public.zip_code_demographics d
where d.state = 'GA'
order by d.population desc
limit 50;

Use this query as a join-pattern example. Replace database, schema, table, and column names with the exact objects from the Marketplace data dictionary after installation.

FAQ

Snowflake dataset FAQ

Quick answers for teams comparing Snowflake Marketplace data, ZIP/ZCTA enrichment, demographics, and real estate data workflows.

What are ZIP code demographics for Snowflake?

ZIP code demographics for Snowflake are warehouse-native population, household, income, housing, and geography fields that can be joined to internal records by ZIP or ZCTA.

Can I join ZIP demographics to my Snowflake customer data?

Yes. Teams commonly join ZIP demographic fields to customer, branch, store, facility, portfolio, and territory records for segmentation, market sizing, and site selection.

What fields are included in ZIP code demographics?

The listing includes demographic and household measures such as population, households, income, housing tenure, plus ZIP geography fields such as county, CBSA, timezone, latitude/longitude, and geometry.

Are ZIP code demographics useful outside real estate?

Yes. ZIP demographics are useful for customer analytics, healthcare planning, retail site selection, local-market analysis, underwriting, insurance, and real estate workflows.

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.

Open Snowflake Listing Browse SFR Analytics Products Request Direct Data Delivery

Related Snowflake datasets

Use the free geography listings as a base layer, then add paid enrichment where the workflow needs more signal.

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