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Property data, United States, all 3,100+ counties

Property Records (Assessor + Recorder)

Owner, characteristics, assessed value, sale history and mortgage for every US parcel, joined on a stable parcel key you can build on.

AssessorRecorderOwnershipParcels

The assessor side carries the physical property: land use, square footage, beds and baths, year built, lot size, assessed and market values, tax amounts, and the owner of record with mailing address. The recorder side carries every deed and mortgage document recorded against the parcel, so you can see who bought, who sold, what they paid and who lent.

Everything is keyed on a persistent property identifier that also appears in our signal files, permits, valuations and owner-contact data. That is the difference between a database and a pile of CSVs: a listing signal can be joined to the owner's mailing address without fuzzy matching.

We license the full national file, state and county cuts, or filtered pulls such as owner-occupied single-family with a purchase in the last 24 months.

Sample rows

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

property_idsitus_addresscitystatezipland_usesqftyear_builtowner_nameowner_mailinglast_sale_datelast_sale_priceassessed_value
P0148••••••• W Oakwood AveChicagoIL606••SFR2,1801994K••••• LIVING TRUSTsame as situs06/14/2018$1,1••,000$1,0••,000
P2271•••88 N••••• CtScottsdaleAZ85255SFR3,4102005H••••• LLCPO Box •••, Reno NV02/12/2024$1,4••,000$1,2••,000

Schema

FieldTypeNotes
property_ididentifiernon-personal
situs_addresstextpersonal data
citytextnon-personal
statetextnon-personal
zipidentifierpersonal data
land_usetextnon-personal
sqftnumbernon-personal
year_builtnumbernon-personal
owner_nametextpersonal data
owner_mailingtextpersonal data
last_sale_datedatenon-personal
last_sale_pricedatenon-personal
assessed_valuecurrencynon-personal

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

Used for

  • Skip tracing and owner outreach at scale
  • Underwriting and valuation models
  • Absentee-owner, high-equity and long-tenure audiences
  • Data warehouse foundation for a proptech product

How it is built

We aggregate county assessor and recorder data through licensed national feeds and fill gaps with direct county pulls where the national feeds lag. Deeds are deduplicated against change-data-capture noise so a transaction appears once.

Land-use codes are normalized so a query for residential means the same thing in every county.

Questions we get

What does 'owner-occupied' mean in your file?

The owner's mailing address matches the property's situs address after normalization. We also flag corporate and trust owners separately, since 'LLC' in a name is not always a business.

Can you unmask an LLC owner?

Often. We chase the mailing address and cross-reference recorder, permit and professional-profile data. It is a service, not a column, and we quote it per batch.

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