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Ploti map with a selected parcel outlined in orange and the US Parcels details panel showing its owner, address, county, original APN, and formatted APN.

A selected U.S. parcel showing its boundary, owner information, county, original APN, and formatted APN.

Ploti provides baseline U.S. datasets for real estate research. Exact fields, completeness, and update dates can vary by source and geography, so review the data-readiness result for the request you are running.

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Parcels

Parcel data is the foundation of many Ploti workflows. Available records can include fields across these categories:
Parcel ID, APN, account number, address, city, state, ZIP code
Primary and secondary owner names, corporate owner indicator, mailing address
Land area (acres and square feet), lot dimensions, front footage, depth footage, land use, zoning, property type, coordinates
Total value, land value, improvement value, assessed value, market value, appraisal value
Tax amount, tax year, assessed year, tax area
Building square footage, living area, basement area, year built, bedrooms, bathrooms, stories, units, condition, quality, architectural style
Water source, sewer type, air conditioning, heating, pool, fireplaces, garage, parking spaces, foundation, roof type
Sale price, sale date, recording date, sale type, seller name
Mortgage amount, mortgage date, lender name

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FEMA Flood Zones

FEMA flood data can add hazard context to parcel and market research. Check the applicable layer, source date, and coverage before treating a property as inside or outside a mapped flood zone.

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Points of Interest

POI data helps you understand what’s around a property:
  • Food & drink establishments
  • Retail locations
  • Parks and recreation
  • Schools and education
  • Healthcare facilities
  • And more

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Census Data

Census data provides demographic and economic context for any area you’re researching.

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Start with Data Readiness

Baseline datasets make many requests possible without separate sourcing. The readiness check still determines which layers and fields are useful for the specific geography and question. For enhanced coverage in specific regions, see Regional Data.