The Importance of Using Layered Data to Analyze Housing: The Case of the Subsidized Housing Information Project
The Furman Center for Real Estate and Urban Policy recently developed a new database through its Subsidized Housing Information Project (SHIP). The SHIP database combines more than 50 disparate data sets to catalogue every privately owned, publicly subsidized affordable rental property developed in New York City with financing and insurance from the U.S. Department of Housing and Urban Development (HUD), HUD projectbased rental assistance, New York City or State Mitchell-Lama financing, or the federal Low-Income Housing Tax Credit Program. The pooling and layering of data, as well as
combining the data with other local housing and neighborhood information, in databases like the SHIP allow for a clearer understanding of the existing affordable housing stock and enable practitioners to more effectively target resources toward the preservation of affordable housing.