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Regrid’s Matched Building Footprints tell you exactly where buildings are positioned within a land parcel.
The ability to see building shapes and sizes is crucial for assessing development potential, identifying vacant lots, analyzing building density and so much more.
Unparalleled coverage
Access over 187 million building footprints across the US (Date as of June 2024) all matched to a land parcel.
Unwavering confidence with high accuracy
Benefit from cutting-edge machine learning and Lidar technology for exceptional precision through our building footprints provider EarthDefine.
Unmatched data freshness
Continuous updates, direct from the county source ensures you always have the latest insights.
Combine Regrid's parcel data and Building Footprints data to conquer your business challenges.
Field | Building Footprints |
Matched to Regrid Parcel Data | |
Unique ID of Entire Structure | |
Building Footprint Area in Square Feet | |
Building Geometry in Well Known Text (WKT) Form | |
Indicator of Largest Building on Parcel | |
County FIPS Code | |
Longitude + Latitude Points (Typically Centroid) | |
Height Attributes: Max, Mean, Max Object (Includes 'Clutter' Like Antennas) | |
Elevation Attributes: Mean Elevation, Lowest & Highest Adjacent Grade (LAG/HAG) | |
Mean Roof Slope | |
Number of Stories (Estimated via Machine Learning Model) |
Software
Station A
"As a long-time user of Regrid’s nationwide parcel data product, we were thrilled to learn about their building footprints data.
By leveraging Regrid’s data products, we can confidently and quickly analyze thousands of commercial buildings' clean energy potential and help our customers decarbonize at scale."
Government
U.S. Census Bureau
The Census Bureau needed to accurately identify residential locations for census purposes, particularly as traditional survey methods faced declining response rates.
Leveraging Regrid's comprehensive parcel data and matched building footprints, the Census Bureau was able to enhance its modeling capabilities and identify residential locations more accurately.