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Property data, United States

Neighborhood & ZIP Intelligence

100+ metrics per ZIP: home values, appreciation, rents, demographics, income, schools, crime indices and housing stock.

ZIPDemographicsMarketAnalytics

Millions of property records, rental listings, demographic signals and quality-of-life indicators condensed into one row per ZIP code. Median value and appreciation, rent and rent growth, owner versus renter mix, income, age, household composition, school ratings, crime indices, housing stock by age and type, and market velocity.

The file drops into a data warehouse or a consumer product without a single join. County and metro rollups are included.

Sample rows

Illustrative and synthetic. Real samples for your geography are a reply away.

zipcitystatemedian_valueappreciation_1ymedian_rentowner_occ_pctmedian_incomeschool_ratingcrime_indexmedian_year_built
606••ChicagoIL$7••,0004.1%$2,6••52%$1••,0008621938
37064FranklinTN$8••,0002.7%$2,9••74%$1••,0009311996

Schema

FieldTypeNotes
zipidentifierpersonal data
citytextnon-personal
statetextnon-personal
median_valuecurrencynon-personal
appreciation_1ytextnon-personal
median_rentcurrencynon-personal
owner_occ_pctnumberpersonal data
median_incometextnon-personal
school_ratingtextnon-personal
crime_indextextnon-personal
median_year_builtnumbernon-personal

Abridged. The full data dictionary ships with every sample and lists every field, its fill rate and its source.

Used for

  • Consumer real estate products
  • Site selection and expansion
  • Insurance and lending territory models
  • Marketing geo-targeting

How it is built

Property metrics come from our assessor, transaction and listing files; demographics from Census and licensed consumer data; schools and crime from public sources, normalized to indices.

Questions we get

Do you have block group or tract?

Yes, on request. ZIP is the default because it matches how most teams target.

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