The Built Environment Foundation is a curated collection of datasets and models offering an up-to-date view of land use, buildings, transportation, and infrastructure for all US locations. It is a one-of-kind unified assembly of 160 million land parcels that can be used to understand site conditions and community context at virtually any scale – parcels, blocks, neighborhoods, zip codes, counties, and more. The metrics available in this Data Foundation serve as the critical components for building Resilience Insights.
The Built Environment Foundation is home to UrbanFootprint’s Base Canvas, a one-of-a-kind dataset of key land use, building, and market stats across all U.S. parcels and addresses.
The Base Canvas leverages dozens of commercial and public data sets, cutting edge data science and machine learning, and over 30 years of deep domain expertise to present the most detailed and up-to-date view of site conditions across 160 million U.S. land parcels – granular detail for nearly every inch of the county.
The Base Canvas serves as the geospatial underpinning for the entire UrbanFootprint Platform, aligning the metrics and models across all three Data Foundations into one unified digital landscape and unlocking multi-dimensional analysis at any scale – site, regional, national, or any other geography.
Comprehensive view of infrastructure, including roads and rail, water districts, power lines and substations, and more
All standard geographies and boundaries in one unified database, including congressional districts, census blocks and tracts, zip codes, school districts, and jurisdiction boundaries
Extensive information about local and regional destinations such as hospitals, parks, retail sites, and other key amenities
Walk, transit, and non-auto accessibility to parcels, transit stops, parks and schools, hospitals, retail services, and other key amenities
Quantified energy and water use per parcel, vehicle miles traveled, fuel use, and emissions based upon current scenarios
The Built Environment Foundation combines commercially-sourced parcel and point-of-interest data with public and open data sources and unifies them within one consistent and accessible data core
All datasets are rigorously cleaned and aligned across all 160 millions parcels in the UrbanFootprint Base Canvas to power mapping and multidimensional analysis at any scale
We use proprietary algorithms and data normalization processes, informed by deep domain expertise in urban planning and data science to validate and regularly update the Built Environment Foundation
Resilience Insights intersect specifically curated data metrics and models from the Data Foundations to drive more effective investment prioritization, quantified risk and vulnerability assessments, and optimized site selection and infrastructure investments.
Navigate hazard risk and build resilience with a comprehensive and up-to-date view of climate, community, and market dynamics.
Inform urgent energy grid investments, EV deployment, regulatory compliance, and sustainability initiatives.
Leverage climate, market, and community data to navigate disclosure requirements and understand climate and community risks and opportunities.
Map and measure community vulnerability and eligibility for federal and state assistance and disaster relief.