Residential Information

Your business problems may require you to understand people — individuals, households, concentrations of people in one building.  You may need to understand the characteristics of the people — their demographics. Or you may need to understand the buildings that they live in.

BuildingFootprintUSA™ data solutions can provide you the insight.

Choose from a number of categories of data that can make up a solution:

  • the household demographics of the building’s residents — population, income, age, wealth, and race
  • the ownership and valuation of the building — is the building owner-occupied, when was it last sold and for how much, what is the tax burden of the building?
  • the type of residence — is the building a single family home, a larger multi-dwelling unit complex, a two family flat, condominium, or townhouse?
  • the physical characteristics of the building — the building’s height, square footage, number of units, foundation type, roof type, and myriad other variables
  • the individual elements that can make up a residence — how many bedrooms, is there a swimming pool, does the building have a detached garage?

All of this is possible with BuildingFootprintUSA™ data solutions

When you need the highest level of detail you can use micro-demographics — demographic data down to the building level.  If your company is hyper-targeting your product or service, if your cost of per customer marketing is high, if you are looking to capture similar customers that live right next door to your existing customers, or if you need to know the exact or best demographics for who is inside a building — all of these are indicators that building level demographics are appropriate.

Census Block Groups data portrays small areas with 500, 1000 or 2000 people as homogeneous.  With building level demographics you can see the diverse mix of any demographic variable across the individual buildings within a Census Block Group.

You may need to understand a single variable for each building — for example, the patterns of construction in Santa Cruz, California, when each building was built.  With building footprint-based residential information, you can easily analyze when the buildings were constructed. And using building footprints for visualization makes a better map when compared to parcel-based analysis and visualization.

Take the analysis a step further and use 3D to visualize two pieces of residential information. Do you want to see how the unimproved value of land is influenced by proximity to the ocean?

Connect virtually any residential characteristic to a building
and use that data as a part of your business solution.

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Commercial Insights

Commercial Insights

  • Business Name + Address
  • Employees + Firmographics
  • SIC + NAICS codes
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Physical Characteristics

Physical Characteristics

  • Building Height
  • Ground Elevation
  • Area, Stories + Year Built
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  • Geocode
  • Reverse Geocode
  • To Connect Building Footprints to Other Address-based Data
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LightBox acquires industry leader BuildingFootprintUSA™

IRVINE, CA – February 1, 2021 – LightBox, a leading provider of commercial real estate data and workflow solutions, announced the acquisition of BuildingFootprintUSA™, the premier provider of building and structure boundaries for location analytics. With this acquisition, LightBox will immediately make building footprints available to its customers.

Connecting BuildingFootprintUSA datasets to LightBox data will create the industry’s only fully integrated parcel, building structure, and property attribute datasets for comprehensive location intelligence across the commercial real estate, telecommunications, routing & logistics, and insurance markets, as well as the broader geospatial ecosystem.

“This acquisition demonstrates our ongoing commitment to innovation that serves the commercial real estate ecosystem. We’re looking to replace existing information silos with industry standard linked datasets. Our parcels and property data will now be integrated with rooftop-level geocodes, addresses, and boundaries,” said LightBox CEO, Eric Frank. “We strongly believe the future is one of connected datasets and we want to drive this change for the commercial real estate industry in the US and Canada.”

BuildingFootprintUSA was founded in 2016 in Albany, New York. The company serves customers of all size within commercial real estate, telecommunications, insurance, and mapping solutions with high-accuracy location data to facilitate accurate site selection, routing, spatial analysis and data visualization. Customers leverage building geometry, height, and ground elevation data to assist in determining potential flood risks, expanding broadband connectivity, policy planning for safety and security, and broader geospatial analytics.

“Joining LightBox gives us an exciting opportunity to grow and deliver our data and solutions to a broader segment of the commercial real estate market in the US and Canada,” said Karl Urich, founder and president of BuildingFootprintUSA. “By combining our datasets with those of LightBox, we will be able to offer the most accurate boundary, address, and geocoding dataset available.”

To learn more about how you can begin leveraging solutions that combine the best of BuildingFootprintUSA and LightBox today, please visit

LightBox is building the world’s leading real estate information and technology platform. LightBox customers comprise all types of enterprises needing authoritative real estate data and workflow solutions, including brokers, developers, investors, lenders, insurers, environmental consultants, corporations, technology companies, and valuation professionals. LightBox is backed by Silver Lake and Battery Ventures.

Learn More About LightBox at

At BFUSA LightBox, we develop next-generation geolocation data centered on the built environment — where people live, work, shop, and play. Our hyper-accurate building and address data helps customers make critical decisions that are highly dependent on location. Learn more about BFUSA.

Learn More About BFUSA