For more than a decade Regrid has worked tirelessly to make it easier to access and work with parcel data.
Our industry-leading parcel dataset covers 99.9% of the US population – more than 156 million parcels – and features 120+ columns of standardized data including critical property characteristics like ownership, land use, assessment values, and tax bill mailing address.
Making maps that include parcel boundaries and data, however, remains a challenge for many due to technical obstacles, software barriers, and the scale of the data involved. These prevent more people from being able to bring parcel data to life in maps, which means the grid of property boundaries and ownership that shapes the country remains invisible.
The ease with which Regrid parcel data can be integrated into Felt maps for compelling storytelling and analysis has proven incredibly valuable to us, so Felt and Regrid have teamed up to bring that experience to users of both platforms via “Open in Felt”.
Regrid’s Data Store makes it easy to buy parcel data for almost any county in the United States as well as Puerto Rico. Felt empowers teams to collaborate on maps in real time. With Felt’s intuitive, user-friendly interface, teams can instantly visualize and share geospatial data without the usual complexity. And now it’s easier than ever for those maps to include Regrid parcel data:
Open in Felt via Regrid Data Store
As an example, here’s a map of Miami-Dade County parcel data from Regrid’s Data Store, opened in Felt. In the map, I’ve used Regrid’s Building Age column to create a map showing recent construction in Miami-Dade County alongside FEMA’s National Flood Hazard Layer that is available in Felt’s data layer library.
It only takes a few minutes to create a map like this and quickly start to get insights out of the powerful combination of Regrid & Felt.
For subscribers to Regrid Pro, you can use Regrid’s powerful analytical tools to identify parcels with the attributes you care about, and also upload your own parcel-level data to join it to our parcel table.
How might you use the feature? Well, here in Detroit, we are considering a major change in our property tax system by transitioning to a land value tax. Say I want to look at how much space our downtown and surrounding commercial areas lose to surface parking lots that are incentivized by low property tax rates for unimproved property. I can use the Regrid Filter tool to isolate Paved and Gravel Parking Lots in Regrid's parcel data, and then purchase the parcels and data in Export to get only those parcels into my Felt map.
Now I can start to tell a story, backed by data, about how much of the city’s prime real estate is given to parked cars instead of people and buildings. Now we can start to look at how a different model of property taxation might change that:
It’s a milestone in Regrid’s ongoing work to bring to life the fabric of property ownership that we all live on and that shapes the world around us.
We hope this collaboration unlocks new possibilities for exploration, discovery, and innovation for you as it has for us.
Happy Mapping!