Parcels + Matched Building Footprints

Matched Building Footprints

Like never before, matched and priced to fit your needs!

156+ million building footprint geometries, derived from aerial imagery & LIDAR data matched to Regrid nationwide parcel data, implemented with standardized schemas, unique identifiers, and matching tables for ease of integration into workflows for deeper insights into every property. With superior licensing economics and in-house matching, this is your one-stop solution for enhanced location certainty.

Why Parcels + Buildings?

Enhanced location context & certainty like never before!

• Your vision, your use-case and our enhanced location context - Land parcels and buildings together give you the ability to do more advanced spatial analysis by showing precisely where structures have been built on top of the world and where they are positioned inside of parcels. ​​As Parcel Data is the exacting identification of every owned, transacted, invested, taxed property in this country, parcel data is a fulcrum for matching to other datasets. Adding a layer of building footprints and centroids to our validated situs address and APN standardization, our normalized land use classification, accurate schemas and field populations, spatial accuracies, persistent universal ID, provides additional location context and deeper insights into a property like never before.

• Faster time to ETL & data consumption - Reduce your engineering and ETL costs by half with our superior join methodology that makes ingesting and consuming parcels + building footprints spatial data easy & cost effective. We know how daunting it can be to work with multiple massive datasets. Our parcels + buildings data comes with a join table that has building ID’s matched to our persistent UUID, and we've factored in edge cases where buildings parse multiple parcels. We’ve made it easy for your data team to ingest and work with the two large spatial files.
  
• Priced to fit your needs - Quality and price that fits your needs and use cases. With this solution, you’re getting a single source of data and support, an advanced match methodology and the ease of two spatial datasets in formats of your choice at a price like never before.

Data is delivered in Shapefile, GeoPackage, GeoJSON, CSV and SQL formats via cloud services such as S3 buckets, SFTP directories and API.