Analytics-ready Building Footprint data in our November 2018 release

Overlaying buildings in 3d with flood zones in Washington DC

Are you looking for the best dataset for analyzing, locating and visualizing information? Look at Building Footprint data as the next generation of geospatial data to solve your business problem.

Continuing our commitment to deliver this accuracy, we are announcing our November 2018 release, our 10th major release of BuildingFootprintUSA™ data. In our November release we continue to add and update coverage across the USA.

Highlights of our November release include:

Major additions of content across the United States with new content in 26 statesExtensive new coverage in Houston, Buffalo, Orlando, Orange County CA and moreOver 20 million new unique addresses linked to rooftop accuracy – now with over 170 million addresses in our productCoverage in 99 of the top 100 cities (Gilbert Arizona – we’ll have coverage soon!)Coverage in 232 of the top 250 cities by population (and many more being added in our next release)

Building-Centric Analysis

Use the building as hub for your spatial analysis. Every building carries important data points such as:

Ownership, valuation, tax jurisdictionBusiness list and firmographic dataDemographic dataLifestyle and segmentation dataPhysical characteristics such as height, ground elevation, roof surface areaConstruction characteristicsYour own proprietary data

Pick and choose the information that is relevant to your analysis. Are you a telecom company planning 5G networks? Building + address + building height. Do you need to analyze risk associated with storm surge? Building + address + ground elevation + building valuation + construction characteristics.

Connect with BuildingFootprintUSA™

We spend time explaining to customers across industries how richly attributed building footprint data can solve their business problems more accurately, or how the data can be used in creative ways to solve new, hard problems. Want to understand building footprint data and how it can be applied to your problems? Drop us a line at

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