Parcels are the foundation of every location decision, and Regrid is proud to be your choice for parcel data. 

Today we’re announcing new geographic data enrichments, produced in collaboration with our partner Esri, the world leader in digital geography. Property and geography form a complete picture of location, but they have long been artificially separated. The collection of data attributes we are releasing today is part of our effort to bring property and geography together in Regrid’s Premium Parcel Data to inform location intelligence and decisions.

The new fields available in Regrid’s Premium Parcel Data, produced in partnership with Esri

8 Demographics fields from Esri’s Demographics team (calculated at the Census Block Group level and matched to individual parcels):

• Housing Affordability Index 
• Population Density 
• Housing Units CAGR (Compound Annual Growth Rate) (past 5 years) 
• Housing Units CAGR (5 yr forecast) 
• Population CAGR (past 5 years) 
• Population CAGR (5 yr forecast) 
• Median Household Income (5 yr forecast) 
• Median Household Income (current year)

2 Environmental fields:

• Risk Rating from FEMA’s National Risk Index
• Distance to Transmission Line from the Department of Homeland Security’s Homeland Infrastructure Foundation-Level Data

3 Elevation fields:

• Roughness Rating from a 10 meter digital elevation model (DEM) produced by Esri from US Geological Survey data
• Parcel Highest Elevation from the same
• Parcel Lowest Elevation from the same

View our data dictionary for exact fields and descriptions

Our Premium Parcels are available within enterprise licenses (files, API and Feature Service) and our self-serve solutions including the Regrid Property App, the Data Store and the API.

They are the first of many future enrichments as we continue our work to unite property data and geographic insights, and continue to increase the value we deliver to clients working with Regrid Premium Parcel Data.

In addition to the new enrichments with Esri, we have also incorporated Precisely’s PreciselyID into our schema for easy matching with other datasets.