In this report, we draw on detailed rent payment data to build an understanding of the experiences of renters in affordable housing in New York City, and by extension, the landlords that house them. We begin by looking at household-level rent payment trends to understand how rental debt levels have changed for renters in our sample of predominantly affordable housing. Tracing payment rates and vacancy rates across the sample sheds light on how those two factors overlapped to affect revenue streams for owners. Owners typically manage finances at the property level, so we next examine the property-level and geographic distribution of changes in payment rates and rent debt to better understand the extent to which properties and neighborhoods were impacted during the pandemic. Finally, to outline which types of properties fared better amidst the economic shutdown, we consider the relationship between rent payment and two key characteristics: property size and the share of subsidized units.
Neighborhood data are critical for understanding local housing and demographic trends, identifying community needs, and informing policy conversations. The NYU Furman Center's New York City Neighborhood Data Profiles are a one-stop platform for viewing and downloading neighborhood indicators, providing an in-depth look at demographic, housing market, land use, and neighborhood services indicators for the city’s 59 community districts.
The NYU Furman Center's New York City Neighborhood Data Profiles supplement the State of New York City’s Housing and Neighborhoods report. Additional city, borough, and historical data can be found on CoreData.nyc.